{"id":"W2778511726","doi":"10.1177/0098858817723663","title":"Intelligence, Disability, and Race: Intersections and Critical Questions","year":2017,"lang":"en","type":"article","venue":"American Journal of Law & Medicine","topic":"Disability Rights and Representation","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Race (biology); Psychology; Criminology; Sociology; Law; Political science; Gender studies","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04796043,0.001015557,0.001474205,0.005616078,0.00928464,0.01101753,0.004353847,0.006247481,0.01641675],"category_scores_gemma":[0.1426903,0.0005612618,0.000831533,0.005014579,0.02924864,0.03162645,0.007234109,0.01036228,0.0007568179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008033541,"about_ca_system_score_gemma":0.009453983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01061398,"about_ca_topic_score_gemma":0.0136246,"domain_scores_codex":[0.981338,0.0139132,0.0007386163,0.001671011,0.001452122,0.0008869737],"domain_scores_gemma":[0.8134452,0.1657991,0.004125928,0.002387011,0.01115541,0.003087445],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001424468,0.00005661419,0.00676465,0.001370468,0.0001025666,0.0006147075,0.047507,0.0001375246,0.00004322387,0.7279273,0.1793521,0.03598147],"study_design_scores_gemma":[0.00002500382,0.00002003228,0.003281989,0.005278689,0.0000835827,0.0006243388,0.1385126,0.0003542301,0.0001286084,0.7294819,0.1221425,0.00006655265],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.008327926,0.04873531,0.004761605,0.9161987,0.006273584,0.0001450919,0.0005339475,0.0000222573,0.01500161],"genre_scores_gemma":[0.6889571,0.06505538,0.007807137,0.1921105,0.035941,0.001231827,0.0003784363,0.0001644374,0.008354099],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04796043,"threshold_uncertainty_score":0.253642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04147609382343739,"score_gpt":0.4374536880631768,"score_spread":0.3959775942397394,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}