{"id":"W4319437807","doi":"10.1177/21533687231153993","title":"Race, Gender, and Risk Assessments in Canadian Federal Prison","year":2023,"lang":"en","type":"article","venue":"Race and Justice","topic":"Criminal Justice and Corrections Analysis","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Prison; Race (biology); Indigenous; Risk assessment; Criminology; Racism; Psychology; Inequality; Actuarial science; Demographic economics; Demography; Political science; Sociology; Economics; Law; Gender studies","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002884347,0.0003314341,0.0003430469,0.002320489,0.005110707,0.001679026,0.001204512,0.000522474,0.003023701],"category_scores_gemma":[0.01218127,0.0001963041,0.0006310338,0.002488859,0.001572865,0.0005627799,0.001541179,0.0008727472,0.0002460151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03740508,"about_ca_system_score_gemma":0.03243116,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9899663,"about_ca_topic_score_gemma":0.9955935,"domain_scores_codex":[0.9967567,0.0004345569,0.0001223834,0.0003017923,0.0013174,0.001067087],"domain_scores_gemma":[0.9923323,0.0006732332,0.001796564,0.000277581,0.003580594,0.001339793],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000177693,0.00008183694,0.9659824,0.00002698137,0.0000570444,0.0000774997,0.008364975,0.0003712422,0.0001550839,0.001541488,0.004049815,0.01911381],"study_design_scores_gemma":[0.000003534064,0.00002293985,0.9885725,0.00007158882,0.00001837845,0.00004127125,0.007404227,0.0004837987,0.0001126329,0.0002523065,0.002986511,0.00003033369],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911757,0.0006405265,0.0001871873,0.001069463,0.00003737681,0.00002972287,0.00106377,0.0000124418,0.005783875],"genre_scores_gemma":[0.9976649,0.0002378214,0.0001764364,0.0001112433,0.000005468313,0.00001291192,0.0003757034,0.000005827543,0.001409593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03740508,"threshold_uncertainty_score":0.2713941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03493292780963837,"score_gpt":0.3620063966114079,"score_spread":0.3270734688017696,"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."}}