{"id":"W2950431569","doi":"10.1177/1357034x19857138","title":"Risk and the Spectral Politics of Disability","year":2019,"lang":"en","type":"article","venue":"Body & Society","topic":"Race, Genetics, and Society","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Carleton University","funders":"","keywords":"Eugenics; Politics; Schizophrenia (object-oriented programming); Corporation; Intervention (counseling); Economic Justice; Criminal justice; Biopower; Criminology; Sociology; Psychology; Psychiatry; Medicine; Political science; Law","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003974238,0.0001016097,0.0001518614,0.000001290202,0.0001156021,0.00001289065,0.000133062,0.0001282977,0.00001427007],"category_scores_gemma":[0.00004497224,0.00007220119,0.000294732,0.00003220783,0.0008888963,0.000001687145,0.0001079438,0.0001076827,0.000003077057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001366434,"about_ca_system_score_gemma":0.0000396207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008968403,"about_ca_topic_score_gemma":0.00001064086,"domain_scores_codex":[0.9992357,0.00007143013,0.0001590808,0.0002360747,0.0001080724,0.0001895753],"domain_scores_gemma":[0.9993519,0.0000381368,0.00007866059,0.0004391137,0.00004544616,0.00004670635],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001272287,0.0002533874,0.8159631,0.0001630452,0.0005179994,1.52073e-7,0.007030375,0.0000617425,0.1544898,0.008431552,0.01230178,0.0006597983],"study_design_scores_gemma":[0.008691327,0.0006995293,0.7483752,0.00002163799,0.0003248826,0.00001209396,0.01487262,0.002209135,0.1505107,0.01071401,0.06272314,0.0008457464],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968722,0.001121131,0.0001321319,0.0002535157,0.00009917221,0.0002017694,0.00003933152,0.000005624268,0.001275123],"genre_scores_gemma":[0.9963269,0.001697163,0.0006127465,0.0002236914,0.0002261145,0.000004044784,0.00001656117,0.00001102665,0.0008817535],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06758793,"threshold_uncertainty_score":0.3275175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003679130817611033,"score_gpt":0.2257666707664893,"score_spread":0.2220875399488783,"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."}}