{"id":"W4239052235","doi":"10.1177/107906320601800207","title":"The Factor Structure of Static Actuarial Items: Its Relation to Prediction","year":2006,"lang":"en","type":"article","venue":"Sexual Abuse","topic":"Criminal Justice and Corrections Analysis","field":"Social Sciences","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Community Safety and Correctional Services; University of Toronto; Centre for Addiction and Mental Health","funders":"Solar Energy Technologies Office","keywords":"Recidivism; Persistence (discontinuity); Sex offender; Psychology; Sexual abuse; Risk assessment; Clinical psychology; Sex offense; Developmental psychology; Poison control; Psychiatry; Human factors and ergonomics; Demography; Medicine; Medical emergency; Computer security; Engineering","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":[0.01317919,0.0009306641,0.0004997381,0.002502087,0.0004836077,0.001076158,0.0005801796,0.0005777621,0.002073384],"category_scores_gemma":[0.0507284,0.0003775078,0.000958921,0.001971809,0.001124865,0.0007527507,0.001004874,0.001032065,0.0003676411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000676398,"about_ca_system_score_gemma":0.0009875327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003252799,"about_ca_topic_score_gemma":0.001609717,"domain_scores_codex":[0.9943439,0.002885851,0.0005550639,0.0004877459,0.001323094,0.0004043505],"domain_scores_gemma":[0.9602466,0.02962958,0.002692587,0.002718268,0.003938788,0.0007741166],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003240565,0.0002784395,0.9459037,0.00004268505,0.0002279229,0.00006614627,0.00173047,0.003170088,0.0005955112,0.001358237,0.0007195965,0.04558316],"study_design_scores_gemma":[0.00004646111,0.0005975282,0.9607992,0.00005342381,0.00006521764,0.0001171982,0.001025584,0.03307185,0.0004563225,0.002881384,0.0008383208,0.00004762509],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.98818,0.00008200396,0.008964065,0.0001245332,0.00003272748,0.0002754334,0.0003274417,0.00008847265,0.001925292],"genre_scores_gemma":[0.9955943,0.00003044794,0.003477397,0.000006834613,0.00001119631,0.0001647654,0.0005452857,0.00001104711,0.0001588094],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01317919,"threshold_uncertainty_score":0.06969911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01751808616558193,"score_gpt":0.2897190576147979,"score_spread":0.272200971449216,"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."}}