{"id":"W2321460198","doi":"10.1177/026455050004700301","title":"Gender, Diversity And Risk Assessment In Canadian Corrections","year":2000,"lang":"en","type":"article","venue":"Probation Journal","topic":"Criminal Justice and Corrections Analysis","field":"Social Sciences","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Concordia University","funders":"","keywords":"Diversity (politics); Risk assessment; Actuarial science; Risk management tools; Sociology; Psychology; Criminology; Law; Political science; Business; Economics; Management","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":[0.004022053,0.0003256273,0.0003787671,0.003603572,0.01083172,0.004064237,0.001354195,0.001223779,0.002746067],"category_scores_gemma":[0.01909488,0.0002007935,0.0004389642,0.004065298,0.003425332,0.00116115,0.002089881,0.001572012,0.000139321],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05093966,"about_ca_system_score_gemma":0.05757087,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9914612,"about_ca_topic_score_gemma":0.996321,"domain_scores_codex":[0.996549,0.0005699031,0.0001076618,0.0001584294,0.001773077,0.000842112],"domain_scores_gemma":[0.9926846,0.001525749,0.0006722238,0.0001363576,0.003216835,0.001764087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002029579,0.00008875331,0.6564456,0.0001635455,0.0001429678,0.0006590402,0.05815843,0.003063888,0.0002363273,0.03273545,0.07608684,0.1720161],"study_design_scores_gemma":[0.00002912482,0.00009067576,0.7708834,0.0007746097,0.0001209871,0.0006540047,0.1276469,0.00403311,0.0003843372,0.01400281,0.08112208,0.0002578645],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7852666,0.01721997,0.001486535,0.1515402,0.0006091961,0.00006926939,0.001094658,0.0000532132,0.0426603],"genre_scores_gemma":[0.9903211,0.003174334,0.0004950424,0.001775558,0.00006983577,0.00001115177,0.0001070143,0.00001334675,0.004032577],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9490603,"threshold_uncertainty_score":0.3695949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03235006335953456,"score_gpt":0.3129250281264334,"score_spread":0.2805749647668988,"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."}}