536 U. S. 304 Neutral Type = dense , numRows = 5 , numCols = 1 0.043 0.266 0.466 0.189 0.036 none-outerSubject determined something. Positive Type = dense , numRows = 5 , numCols = 1 0.015 0.055 0.397 0.464 0.069 none-outerSubject,--::none-innersubject,-- Moore had not shown significantly subaverage intellectual functioning. Negative Type = dense , numRows = 5 , numCols = 1 0.216 0.579 0.160 0.029 0.016 CCA concluded something. Neutral Type = dense , numRows = 5 , numCols = 1 0.036 0.166 0.391 0.340 0.067 CCA ,--::Moore ,Moore;Moore 's;Petitioner Moore; Moore had satisfied the relatedness requirement. Neutral Type = dense , numRows = 5 , numCols = 1 0.024 0.157 0.667 0.138 0.015 evidentiary Briseno 's factors finding something. Neutral Type = dense , numRows = 5 , numCols = 1 0.024 0.128 0.462 0.343 0.043 evidentiary Briseno 's factors ,--::Moore ,Moore;Moore 's;Petitioner Moore; being informed by the medical community does not demand adherence to everything stated in the latest medical guide. Negative Type = dense , numRows = 5 , numCols = 1 0.101 0.716 0.157 0.020 0.006 Hall indicated something. Neutral Type = dense , numRows = 5 , numCols = 1 0.005 0.021 0.551 0.397 0.027 Hall ,Hall;::none-innersubject,-- he is not intellectually disabled is irreconcilable with Hall Negative Type = dense , numRows = 5 , numCols = 1 0.090 0.568 0.317 0.019 0.007 Moore 's scores established something. Positive Type = dense , numRows = 5 , numCols = 1 0.003 0.010 0.263 0.659 0.064 Moore 's scores ,--::he ,Moore 's; courts must account for the test's "standard error of measurement." Neutral Type = dense , numRows = 5 , numCols = 1 0.036 0.331 0.602 0.026 0.006 which instructs something. Neutral Type = dense , numRows = 5 , numCols = 1 0.014 0.063 0.466 0.411 0.047 which ,--::courts ,-- detracted from a determination that his intellectual and adaptive deficits were related. Negative Type = dense , numRows = 5 , numCols = 1 0.105 0.632 0.237 0.019 0.007 CCA concluded something. Neutral Type = dense , numRows = 5 , numCols = 1 0.036 0.166 0.391 0.340 0.067 CCA ,--::Moore 's record ,-- his adaptive deficits were not related to "a personality disorder." Negative Type = dense , numRows = 5 , numCols = 1 0.047 0.491 0.446 0.013 0.004 CCA show something. Neutral Type = dense , numRows = 5 , numCols = 1 0.022 0.105 0.497 0.329 0.047 CCA ,--::adaptive his deficits ,Moore;Moore 's; intellectually disabled people may have other co-existing mental or physical impairments Negative Type = dense , numRows = 5 , numCols = 1 0.056 0.538 0.396 0.008 0.003 professionals recognize something. Positive Type = dense , numRows = 5 , numCols = 1 0.017 0.066 0.163 0.658 0.096 professionals ,--::disabled people ,-- Moore be granted relief. Neutral Type = dense , numRows = 5 , numCols = 1 0.051 0.273 0.528 0.126 0.022 court recommended something. Positive Type = dense , numRows = 5 , numCols = 1 0.007 0.023 0.104 0.745 0.121 court ,--::Moore ,Bobby James Moore;Moore;Moore 's; the evidentiary factors announced in Briseno "weigh[ed] heavily" against upsetting Moore's death sentence. Negative Type = dense , numRows = 5 , numCols = 1 0.159 0.635 0.170 0.023 0.014 court determined something. Positive Type = dense , numRows = 5 , numCols = 1 0.007 0.030 0.161 0.746 0.057 court ,--::evidentiary factors ,-- see Moore v. Collins Positive Type = dense , numRows = 5 , numCols = 1 0.033 0.209 0.305 0.415 0.039 federal court vacated something. Negative Type = dense , numRows = 5 , numCols = 1 0.073 0.474 0.346 0.086 0.022 federal court ,--::sentence ,-- Moore had significant mental and social difficulties beginning at an early age. Neutral Type = dense , numRows = 5 , numCols = 1 0.048 0.308 0.535 0.093 0.015 evidence revealed something. Neutral Type = dense , numRows = 5 , numCols = 1 0.005 0.026 0.626 0.324 0.019 evidence ,--::Moore ,Ex parte Moore, No. 314483-C -LRB- 185th Jud;Moore;Moore 's; the CCA reduce Moore's sentence to life in prison or grant him a new trial on intellectual disability. Negative Type = dense , numRows = 5 , numCols = 1 0.069 0.533 0.332 0.054 0.012 court recommended something. Positive Type = dense , numRows = 5 , numCols = 1 0.007 0.023 0.104 0.745 0.121 court ,--::CCA ,-- Moore had failed to prove significantly subaverage intellectual functioning. Negative Type = dense , numRows = 5 , numCols = 1 0.239 0.570 0.159 0.020 0.012 first determined something. Positive Type = dense , numRows = 5 , numCols = 1 0.002 0.008 0.405 0.568 0.018 first ,--::Moore ,Moore;Moore 's; Moore's scores ranked "above the intellectually disabled range" (i.e. Negative Type = dense , numRows = 5 , numCols = 1 0.050 0.451 0.404 0.082 0.012 court concluded something. Positive Type = dense , numRows = 5 , numCols = 1 0.028 0.145 0.232 0.525 0.070 court ,--::Moore 's scores ,-- he suffers from significantly sub-average general intellectual functioning Neutral Type = dense , numRows = 5 , numCols = 1 0.066 0.333 0.382 0.178 0.041 none-outerSubject had proven something. Neutral Type = dense , numRows = 5 , numCols = 1 0.027 0.155 0.518 0.262 0.038 none-outerSubject,--::he ,-LSB- Moore;Moore;Moore 's;the State 's expert;the expert; Moore's adaptive-functioning test scores fell more than two standard deviations below the mean. Negative Type = dense , numRows = 5 , numCols = 1 0.250 0.592 0.099 0.033 0.026 Moore 's experts agreed something. Neutral Type = dense , numRows = 5 , numCols = 1 0.013 0.066 0.516 0.371 0.035 Moore 's experts ,--::adaptive-functioning Moore 's scores ,-- his academic and social difficulties were not related to intellectual-functioning deficits. Negative Type = dense , numRows = 5 , numCols = 1 0.056 0.539 0.355 0.042 0.007 significant Moore 's improvement confirmed something. Positive Type = dense , numRows = 5 , numCols = 1 0.027 0.096 0.206 0.548 0.123 significant Moore 's improvement ,--::academic his difficulties ,Moore;Moore 's; those factors "weigh[ed] heavily" against finding that Moore had satisfied the relatedness requirement. Negative Type = dense , numRows = 5 , numCols = 1 0.101 0.653 0.187 0.047 0.013 none-outerSubject concluding something. Neutral Type = dense , numRows = 5 , numCols = 1 0.036 0.166 0.391 0.340 0.067 none-outerSubject,--::factors ,-- Moore had satisfied the relatedness requirement. Neutral Type = dense , numRows = 5 , numCols = 1 0.024 0.157 0.667 0.138 0.015 factors finding something. Positive Type = dense , numRows = 5 , numCols = 1 0.015 0.067 0.340 0.526 0.053 factors ,--::Moore ,Moore;Moore 's; a State cannot refuse to entertain other evidence of intellectual disability Negative Type = dense , numRows = 5 , numCols = 1 0.085 0.648 0.205 0.050 0.011 we held something. Neutral Type = dense , numRows = 5 , numCols = 1 0.004 0.015 0.551 0.401 0.030 we ,Atkins and Hall;::State ,-- Florida had parted ways with practices and trends in other States. Negative Type = dense , numRows = 5 , numCols = 1 0.088 0.498 0.317 0.075 0.022 We noted something. Neutral Type = dense , numRows = 5 , numCols = 1 0.044 0.272 0.425 0.226 0.033 We ,Atkins and Hall;::Florida ,Florida; being informed by the medical community does not demand adherence to everything stated in the latest medical guide. Negative Type = dense , numRows = 5 , numCols = 1 0.101 0.716 0.157 0.020 0.006 Hall indicated something. Neutral Type = dense , numRows = 5 , numCols = 1 0.005 0.021 0.551 0.397 0.027 Hall ,Hall;::none-innersubject,-- he is not intellectually disabled is irreconcilable with Hall. Negative Type = dense , numRows = 5 , numCols = 1 0.130 0.624 0.219 0.018 0.009 Moore 's scores established something. Positive Type = dense , numRows = 5 , numCols = 1 0.003 0.010 0.263 0.659 0.064 Moore 's scores ,--::he ,Moore 's; courts must account for the test's "standard error of measurement." Neutral Type = dense , numRows = 5 , numCols = 1 0.036 0.331 0.602 0.026 0.006 Hall instructs something. Positive Type = dense , numRows = 5 , numCols = 1 0.007 0.027 0.383 0.535 0.049 Hall ,Hall;::courts ,-- an individual's score is best understood as a range of scores on either side of the recorded score . . . within Positive Type = dense , numRows = 5 , numCols = 1 0.003 0.005 0.035 0.674 0.283 imprecision means something. Neutral Type = dense , numRows = 5 , numCols = 1 0.015 0.172 0.797 0.014 0.002 imprecision ,--::individual 's score ,-- the CCA properly considered factors unique to Moore in disregarding the lower end of the standard-error range. Positive Type = dense , numRows = 5 , numCols = 1 0.100 0.242 0.139 0.378 0.142 Texas maintain something. Neutral Type = dense , numRows = 5 , numCols = 1 0.010 0.050 0.801 0.120 0.019 Texas ,--::CCA ,-- "the Eighth Amendment turns on the slightest numerical difference in IQ score Neutral Type = dense , numRows = 5 , numCols = 1 0.029 0.269 0.480 0.203 0.019 we do not suggest something. Neutral Type = dense , numRows = 5 , numCols = 1 0.034 0.287 0.621 0.051 0.008 we ,--::Amendment ,-- courts continue the inquiry and consider other evidence of intellectual disability Neutral Type = dense , numRows = 5 , numCols = 1 0.023 0.240 0.639 0.087 0.010 we require something. Neutral Type = dense , numRows = 5 , numCols = 1 0.007 0.064 0.855 0.069 0.005 we ,--::courts ,-- Moore did not suffer significant adaptive deficits Neutral Type = dense , numRows = 5 , numCols = 1 0.052 0.443 0.475 0.025 0.006 CCA concluding something. Neutral Type = dense , numRows = 5 , numCols = 1 0.028 0.144 0.491 0.294 0.044 CCA ,--::Moore ,Moore;Moore 's; detracted from a determination that his intellectual and adaptive deficits were related. Negative Type = dense , numRows = 5 , numCols = 1 0.105 0.632 0.237 0.019 0.007 CCA concluded something. Neutral Type = dense , numRows = 5 , numCols = 1 0.036 0.166 0.391 0.340 0.067 CCA ,--::Moore 's record ,-- his adaptive deficits were not related to "a personality disorder." Negative Type = dense , numRows = 5 , numCols = 1 0.047 0.491 0.446 0.013 0.004 CCA show something. Neutral Type = dense , numRows = 5 , numCols = 1 0.022 0.105 0.497 0.329 0.047 CCA ,--::adaptive his deficits ,Moore;Moore 's; persons with "mild" intellectual disability might be treated differently under clinical standards than under Texas' capital system Negative Type = dense , numRows = 5 , numCols = 1 0.176 0.642 0.150 0.020 0.012 CCA observing something. Neutral Type = dense , numRows = 5 , numCols = 1 0.028 0.144 0.491 0.294 0.044 CCA ,--::persons ,-- Moore is intellectually disabled and therefore ineligible for the death penalty. Negative Type = dense , numRows = 5 , numCols = 1 0.163 0.552 0.264 0.013 0.007 court concluding something. Neutral Type = dense , numRows = 5 , numCols = 1 0.024 0.124 0.429 0.372 0.051 court ,--::Moore ,Moore;Moore 's; Bobby James Moore was not intellectually disabled so as to be exempt from the death penalty under Atkins v. Virginia Negative Type = dense , numRows = 5 , numCols = 1 0.130 0.629 0.205 0.028 0.010 Court concluded something. Neutral Type = dense , numRows = 5 , numCols = 1 0.036 0.166 0.391 0.340 0.067 Court ,--::Moore ,-- he had failed to establish either significantly subaverage intellectual functioning or related significant deficits in adaptive behavior. Negative Type = dense , numRows = 5 , numCols = 1 0.252 0.633 0.096 0.011 0.008 none-outerSubject findings something. Neutral Type = dense , numRows = 5 , numCols = 1 0.021 0.121 0.609 0.221 0.027 none-outerSubject,--::he ,-- the CCA erred as to Moore's intellectual functioning. Negative Type = dense , numRows = 5 , numCols = 1 0.123 0.665 0.180 0.023 0.010 I do not agree something. Negative Type = dense , numRows = 5 , numCols = 1 0.067 0.429 0.377 0.108 0.020 I ,--::CCA ,-- it abandons the usual mode of analysis this Court has employed in Eighth Amendment cases. Negative Type = dense , numRows = 5 , numCols = 1 0.093 0.538 0.298 0.057 0.015 broader My concern is something. Positive Type = dense , numRows = 5 , numCols = 1 0.012 0.039 0.166 0.669 0.114 broader My concern ,--::it ,-- Moore had shown intellectual disability and recommended that he be granted relief. Negative Type = dense , numRows = 5 , numCols = 1 0.139 0.516 0.276 0.049 0.020 court concluded something. Positive Type = dense , numRows = 5 , numCols = 1 0.028 0.145 0.232 0.525 0.070 court ,--::Moore ,Moore;Moore 's; he be granted relief. Neutral Type = dense , numRows = 5 , numCols = 1 0.049 0.290 0.526 0.112 0.023 none-outerSubject recommended something. Positive Type = dense , numRows = 5 , numCols = 1 0.015 0.048 0.259 0.550 0.128 none-outerSubject,--::he ,Moore;Moore 's; "the legal test we established in Briseno remains adequately 'informed by the medical community's diagnostic framework Neutral Type = dense , numRows = 5 , numCols = 1 0.044 0.416 0.434 0.093 0.013 CCA concluded something. Neutral Type = dense , numRows = 5 , numCols = 1 0.036 0.166 0.391 0.340 0.067 CCA ,--::legal test ,-- five of the tests the habeas court had considered were unreliable Neutral Type = dense , numRows = 5 , numCols = 1 0.023 0.291 0.639 0.042 0.005 CCA concluded something. Neutral Type = dense , numRows = 5 , numCols = 1 0.036 0.166 0.391 0.340 0.067 CCA ,--::five ,-- Moore had failed to present sufficient evidence of significantly subaverage intellectual functioning. Negative Type = dense , numRows = 5 , numCols = 1 0.210 0.581 0.173 0.023 0.013 CCA concluded something. Neutral Type = dense , numRows = 5 , numCols = 1 0.036 0.166 0.391 0.340 0.067 CCA ,--::Moore ,Moore;Moore 's; it was not an accurate measure of Moore's abilities. Negative Type = dense , numRows = 5 , numCols = 1 0.104 0.593 0.215 0.069 0.019 Compton explained something. Neutral Type = dense , numRows = 5 , numCols = 1 0.036 0.166 0.391 0.340 0.067 Compton ,--::it ,The CCA;the CCA 's; and prison records--did not show adaptive deficits sufficient for an intellectual disability diagnosis. Negative Type = dense , numRows = 5 , numCols = 1 0.052 0.544 0.377 0.022 0.005 Compton opined something. Neutral Type = dense , numRows = 5 , numCols = 1 0.036 0.166 0.391 0.340 0.067 Compton ,--::her evaluation ,Dr. Kristi Compton, the state expert who had administered that test; Moore had shown significant adaptive deficits. Negative Type = dense , numRows = 5 , numCols = 1 0.123 0.565 0.272 0.029 0.011 who concluded something. Neutral Type = dense , numRows = 5 , numCols = 1 0.009 0.052 0.774 0.153 0.011 who ,--::Moore ,Moore;Moore 's; Moore had made sufficient showings as to intellectual functioning and adaptive deficits Neutral Type = dense , numRows = 5 , numCols = 1 0.050 0.412 0.498 0.033 0.007 two assuming something. Neutral Type = dense , numRows = 5 , numCols = 1 0.009 0.094 0.859 0.035 0.002 two ,--::Moore ,Moore;Moore 's; "the record overwhelmingly supports the conclusion" Positive Type = dense , numRows = 5 , numCols = 1 0.007 0.041 0.278 0.641 0.033 CCA concluded something. Neutral Type = dense , numRows = 5 , numCols = 1 0.036 0.166 0.391 0.340 0.067 CCA ,--::record ,-- consideration of the seven Briseno factors reinforced that relatedness conclusion. Neutral Type = dense , numRows = 5 , numCols = 1 0.026 0.127 0.421 0.379 0.048 CCA explained something. Neutral Type = dense , numRows = 5 , numCols = 1 0.036 0.166 0.391 0.340 0.067 CCA ,--::consideration ,-- Moore had failed to present sufficient evidence on intellectual functioning or related adaptive deficits Negative Type = dense , numRows = 5 , numCols = 1 0.114 0.578 0.294 0.009 0.004 CCA Given something. Neutral Type = dense , numRows = 5 , numCols = 1 0.035 0.201 0.468 0.254 0.042 CCA ,--::Moore ,Moore; "judgment should be informed by objective factors to the maximum possible extent." Neutral Type = dense , numRows = 5 , numCols = 1 0.007 0.060 0.590 0.326 0.017 we have emphasized something. Neutral Type = dense , numRows = 5 , numCols = 1 0.006 0.036 0.791 0.157 0.010 we ,--::judgment ,-- the Eighth Amendment prohibits the execution of intellectually disabled individuals in Atkins Negative Type = dense , numRows = 5 , numCols = 1 0.067 0.499 0.365 0.055 0.013 Court holding something. Neutral Type = dense , numRows = 5 , numCols = 1 0.023 0.134 0.592 0.223 0.028 Court ,--::Amendment ,-- there was "no reason to disagree" with that consensus. Negative Type = dense , numRows = 5 , numCols = 1 0.110 0.622 0.219 0.038 0.011 none-outerSubject concluded something. Neutral Type = dense , numRows = 5 , numCols = 1 0.036 0.166 0.391 0.340 0.067 none-outerSubject,--::reason ,-- there remained the potential for "serious disagreement . . . in determining Neutral Type = dense , numRows = 5 , numCols = 1 0.040 0.402 0.477 0.072 0.009 We recognized something. Negative Type = dense , numRows = 5 , numCols = 1 0.127 0.449 0.189 0.166 0.069 We ,--::none-innersubject,-- "[t]he legal determination of intellectual disability is distinct from a medical diagnosis." Negative Type = dense , numRows = 5 , numCols = 1 0.059 0.586 0.329 0.021 0.005 it emphasized something. Neutral Type = dense , numRows = 5 , numCols = 1 0.011 0.069 0.581 0.317 0.022 it ,The Court;The Court 's;the Court;the Court 's;::none-innersubject,-- the determination of Neutral Type = dense , numRows = 5 , numCols = 1 0.001 0.009 0.950 0.039 0.001 Today 's decision establishing something. Neutral Type = dense , numRows = 5 , numCols = 1 0.003 0.026 0.873 0.093 0.004 Today 's decision ,--::determination ,-- we have Neutral Type = dense , numRows = 5 , numCols = 1 0.002 0.015 0.952 0.030 0.002 none-outerSubject Recognizing something. Neutral Type = dense , numRows = 5 , numCols = 1 0.036 0.166 0.391 0.340 0.067 none-outerSubject,--::we ,-- " 'the views of medical experts' do not 'dictate' a court's intellectual-disability determination Neutral Type = dense , numRows = 5 , numCols = 1 0.032 0.292 0.512 0.151 0.013 none-outerSubject held something. Positive Type = dense , numRows = 5 , numCols = 1 0.017 0.071 0.391 0.449 0.073 none-outerSubject,--::views ,-- this marked a dismissal of clinical standards. Positive Type = dense , numRows = 5 , numCols = 1 0.057 0.170 0.249 0.401 0.122 none-outerSubject implying something. Neutral Type = dense , numRows = 5 , numCols = 1 0.036 0.166 0.391 0.340 0.067 none-outerSubject,--::this ,-- the fundamental questions the Atkins inquiry sought to answer were best considered--and "sound scientific principles" best served--by taking account of "all possible data Negative Type = dense , numRows = 5 , numCols = 1 0.143 0.435 0.127 0.183 0.112 CCA decided something. Neutral Type = dense , numRows = 5 , numCols = 1 0.021 0.104 0.572 0.265 0.038 CCA ,--::fundamental questions ,-- departure from those standards was warranted. Neutral Type = dense , numRows = 5 , numCols = 1 0.042 0.331 0.478 0.131 0.017 it decided something. Neutral Type = dense , numRows = 5 , numCols = 1 0.004 0.025 0.671 0.287 0.012 it ,The CCA;the CCA;the CCA for;::departure ,-- some--but not too much--consideration of strengths and prison functioning is acceptable. Neutral Type = dense , numRows = 5 , numCols = 1 0.042 0.287 0.422 0.217 0.030 Court suggesting something. Neutral Type = dense , numRows = 5 , numCols = 1 0.011 0.070 0.684 0.216 0.019 Court ,--::some consideration ,-- all clinicians would agree with this statement Neutral Type = dense , numRows = 5 , numCols = 1 0.041 0.348 0.460 0.134 0.017 none-outerSubject assuming something. Neutral Type = dense , numRows = 5 , numCols = 1 0.050 0.360 0.466 0.101 0.022 none-outerSubject,--::clinicians ,-- and practical--should not cancel out deficits in another; as meaning that strengths should not outweigh deficits within the same skill area; or as meaning that evidence of some ability to perform a skill should not offset evidence of the inability to perform that same skill. Negative Type = dense , numRows = 5 , numCols = 1 0.077 0.539 0.325 0.050 0.010 number meaning something. Positive Type = dense , numRows = 5 , numCols = 1 0.010 0.044 0.353 0.545 0.049 number ,--::strengths ,-- strengths should not outweigh deficits within the same skill area; or as meaning that evidence of some ability to perform a skill should not offset evidence of the inability to perform that same skill. Negative Type = dense , numRows = 5 , numCols = 1 0.115 0.548 0.202 0.107 0.029 number meaning something. Positive Type = dense , numRows = 5 , numCols = 1 0.010 0.044 0.353 0.545 0.049 number ,--::strengths ,-- evidence of some ability to perform a skill should not offset evidence of the inability to perform that same skill. Negative Type = dense , numRows = 5 , numCols = 1 0.094 0.540 0.219 0.117 0.029 none-outerSubject meaning something. Neutral Type = dense , numRows = 5 , numCols = 1 0.014 0.074 0.555 0.322 0.034 none-outerSubject,--::evidence ,-- clinicians do Neutral Type = dense , numRows = 5 , numCols = 1 0.005 0.042 0.874 0.071 0.007 it appears something. Neutral Type = dense , numRows = 5 , numCols = 1 0.013 0.107 0.656 0.211 0.013 it ,--::clinicians ,-- the CCA erred in this regard Negative Type = dense , numRows = 5 , numCols = 1 0.051 0.464 0.410 0.064 0.012 Court determining something. Neutral Type = dense , numRows = 5 , numCols = 1 0.028 0.144 0.491 0.294 0.044 Court ,--::CCA ,-- consideration of those factors tainted the whole of the CCA's adaptive functioning analysis. Negative Type = dense , numRows = 5 , numCols = 1 0.101 0.471 0.256 0.134 0.038 none-outerSubject be something. Neutral Type = dense , numRows = 5 , numCols = 1 0.024 0.123 0.505 0.303 0.046 none-outerSubject,--::consideration ,-- he had failed to demonstrate intellectual functioning sufficiently low to warrant a finding of intellectual disability Negative Type = dense , numRows = 5 , numCols = 1 0.127 0.675 0.186 0.008 0.005 none-outerSubject concluding something. Neutral Type = dense , numRows = 5 , numCols = 1 0.036 0.166 0.391 0.340 0.067 none-outerSubject,--::he ,Moore;Moore 's; the CCA's assessment of Moore's IQ scores is "irreconcilable with Hall." Negative Type = dense , numRows = 5 , numCols = 1 0.110 0.616 0.214 0.044 0.016 Court concludes something. Positive Type = dense , numRows = 5 , numCols = 1 0.023 0.100 0.373 0.429 0.074 Court ,--::CCA 's assessment ,-- Moore's tested score of 74 led to an IQ range between 69 and 79. Negative Type = dense , numRows = 5 , numCols = 1 0.065 0.399 0.304 0.193 0.038 court explaining something. Neutral Type = dense , numRows = 5 , numCols = 1 0.011 0.074 0.678 0.221 0.016 court ,--::tested Moore 's score ,-- Moore's IQ did not lie in the relevant range for intellectual disability. Negative Type = dense , numRows = 5 , numCols = 1 0.061 0.544 0.344 0.043 0.008 none-outerSubject concluded something. Neutral Type = dense , numRows = 5 , numCols = 1 0.036 0.166 0.391 0.340 0.067 none-outerSubject,--::Moore 's IQ ,-- his actual score did not fall near the lower end of the SEM range. Negative Type = dense , numRows = 5 , numCols = 1 0.128 0.635 0.192 0.035 0.009 other factors conclude something. Neutral Type = dense , numRows = 5 , numCols = 1 0.015 0.093 0.618 0.253 0.022 other factors ,--::actual his score ,Moore 's;Moore 's IQ; the Eighth Amendment turns on the slightest numerical difference in IQ score Neutral Type = dense , numRows = 5 , numCols = 1 0.036 0.333 0.535 0.082 0.013 Court concluding something. Neutral Type = dense , numRows = 5 , numCols = 1 0.028 0.144 0.491 0.294 0.044 Court ,--::Amendment ,-- States must read IQ tests as rigidly encompassing the entire SEM range Neutral Type = dense , numRows = 5 , numCols = 1 0.036 0.310 0.468 0.169 0.018 none-outerSubject say something. Neutral Type = dense , numRows = 5 , numCols = 1 0.022 0.128 0.579 0.237 0.034 none-outerSubject,--::States ,-- the reasons that the CCA gave for discounting the lower end of Moore's IQ range were improper. Negative Type = dense , numRows = 5 , numCols = 1 0.234 0.564 0.150 0.037 0.016 none-outerSubject say something. Neutral Type = dense , numRows = 5 , numCols = 1 0.022 0.128 0.579 0.237 0.034 none-outerSubject,--::reasons ,-- the Constitution demands either result Neutral Type = dense , numRows = 5 , numCols = 1 0.003 0.024 0.922 0.048 0.003 our precedent holding something. Positive Type = dense , numRows = 5 , numCols = 1 0.004 0.021 0.385 0.564 0.026 our precedent ,--::demands ,-- there is one. Neutral Type = dense , numRows = 5 , numCols = 1 0.011 0.077 0.658 0.240 0.013 majority does not claim something. Negative Type = dense , numRows = 5 , numCols = 1 0.058 0.497 0.419 0.021 0.006 majority ,--::one ,-- see id. Positive Type = dense , numRows = 5 , numCols = 1 0.024 0.112 0.395 0.414 0.054 none-outerSubject did not include something. Negative Type = dense , numRows = 5 , numCols = 1 0.062 0.440 0.388 0.088 0.021 none-outerSubject,--::score ,-- he is led around by others? Neutral Type = dense , numRows = 5 , numCols = 1 0.006 0.073 0.894 0.024 0.002 it does show something. Neutral Type = dense , numRows = 5 , numCols = 1 0.009 0.060 0.582 0.328 0.020 it ,--::he ,-- Hall tacitly approved Idaho's approach to capital sentencing Neutral Type = dense , numRows = 5 , numCols = 1 0.042 0.294 0.509 0.133 0.022 dissent suggests something. Neutral Type = dense , numRows = 5 , numCols = 1 0.028 0.335 0.625 0.009 0.003 dissent ,--::Hall ,Hall;Hall, 572 U. S., at ___; the State had "passed legislation allowing a defendant to present additional evidence of intellectual disability even Neutral Type = dense , numRows = 5 , numCols = 1 0.029 0.313 0.548 0.100 0.010 We note something. Neutral Type = dense , numRows = 5 , numCols = 1 0.024 0.150 0.479 0.314 0.032 We ,--::State ,-- disagreement exists about the precise role of adaptive strengths in the adaptive-functioning inquiry. Neutral Type = dense , numRows = 5 , numCols = 1 0.024 0.258 0.681 0.031 0.005 dissent suggests something. Neutral Type = dense , numRows = 5 , numCols = 1 0.028 0.335 0.625 0.009 0.003 dissent ,--::disagreement ,-- Hall cited Pizzuto as an instance of a State Neutral Type = dense , numRows = 5 , numCols = 1 0.022 0.160 0.618 0.180 0.020 Court notes something. Neutral Type = dense , numRows = 5 , numCols = 1 0.034 0.212 0.514 0.205 0.034 Court ,--::Hall ,--