{"id":"W1978475459","doi":"10.1177/0093854809333058","title":"Does Gender Moderate the Predictive Utility of the Level of Service Inventory—Revised (LSI-R) for Serious Violent Offenders?","year":2009,"lang":"en","type":"article","venue":"Criminal Justice and Behavior","topic":"Psychopathy, Forensic Psychiatry, Sexual Offending","field":"Psychology","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Recidivism; Prison; Risk assessment; Psychology; Population; Poison control; Injury prevention; Human factors and ergonomics; Sentence; Psychiatry; Clinical psychology; Demography; Criminology; Medicine; Computer security; Medical emergency; Computer science; Sociology","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":[0.002330228,0.0003374657,0.0003196129,0.0007516745,0.0003881368,0.0007556007,0.0003968238,0.0005500784,0.001582876],"category_scores_gemma":[0.01285849,0.0002551205,0.0004607174,0.0003457349,0.0007306538,0.0006781481,0.0005179452,0.0008661263,0.0003762749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003021542,"about_ca_system_score_gemma":0.0006201959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008136368,"about_ca_topic_score_gemma":0.01418694,"domain_scores_codex":[0.9991617,0.0004256224,0.00005931523,0.00008797646,0.0001240752,0.0001412892],"domain_scores_gemma":[0.99493,0.002223737,0.001555139,0.0002725654,0.0003120621,0.0007064551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004730967,0.00002447713,0.9976375,0.000002874186,0.00001729138,0.00002501013,0.0001323149,0.00001467617,0.00003339962,0.00002678631,0.00007260839,0.001965701],"study_design_scores_gemma":[0.000004766397,0.0001756326,0.998179,0.00001861349,0.00002519347,0.0001613678,0.0006733429,0.000396932,0.00004716389,0.0001080222,0.0002051799,0.000004826658],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985933,0.0002297021,0.00006913629,0.0003371021,0.00002670792,0.000005743252,0.00006774633,0.000003256569,0.0006673608],"genre_scores_gemma":[0.9995133,0.00008861353,0.00007298972,0.00006791987,0.00001918704,0.000003347392,0.00005313251,0.000002193038,0.0001793612],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008136368,"threshold_uncertainty_score":0.01617801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1593700012897873,"score_gpt":0.3647117967309076,"score_spread":0.2053417954411204,"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."}}