{"id":"W2139524302","doi":"10.1177/0093854814553222","title":"Using Dynamic Factors to Predict Recidivism Among Women","year":2014,"lang":"en","type":"article","venue":"Criminal Justice and Behavior","topic":"Psychopathy, Forensic Psychiatry, Sexual Offending","field":"Psychology","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Recidivism; Marital status; Psychology; Poison control; Risk assessment; Human factors and ergonomics; Proportional hazards model; Clinical psychology; Demography; Medicine; Population; Medical emergency; Environmental health; Computer security; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003258247,0.0003352161,0.0003447131,0.0002510699,0.0002463116,0.00007742314,0.0002717009,0.0001886335,0.0002747833],"category_scores_gemma":[0.00007644659,0.0003175258,0.0000652045,0.0002118611,0.0001626313,0.0001551271,0.00009435914,0.0002996172,0.0001046523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001318229,"about_ca_system_score_gemma":0.00002103059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001867238,"about_ca_topic_score_gemma":0.00003679557,"domain_scores_codex":[0.9978521,0.0001185846,0.0003686387,0.0006463712,0.000258409,0.0007559322],"domain_scores_gemma":[0.998702,0.0001200815,0.0001353877,0.0004933894,0.00005367443,0.0004954639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001188387,0.003333509,0.4861496,0.002065954,0.0003067209,0.0004215225,0.1910724,0.00004407546,0.04658939,0.003332848,0.03615995,0.2293356],"study_design_scores_gemma":[0.0008861224,0.001003366,0.9428109,0.0001120395,0.004564613,0.000102769,0.04831097,0.0001762737,0.00008524823,0.00006011407,0.001254329,0.0006332772],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9575655,0.00007219819,0.001748304,0.00002817943,0.03820743,0.000318798,0.0000289592,0.0001201389,0.001910439],"genre_scores_gemma":[0.9970444,0.000003387316,0.001035629,0.000336366,0.0008332614,0.00007256281,0.00001388298,0.00006363919,0.0005968391],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4566613,"threshold_uncertainty_score":0.9999277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06181175626829181,"score_gpt":0.357549334394922,"score_spread":0.2957375781266302,"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."}}