{"id":"W2135481121","doi":"10.1177/1079063213486936","title":"Development of Vermont Assessment of Sex Offender Risk-2 (VASOR-2) Reoffense Risk Scale","year":2013,"lang":"en","type":"article","venue":"Sexual Abuse","topic":"Psychopathy, Forensic Psychiatry, Sexual Offending","field":"Psychology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"National Institute of Justice","keywords":"Recidivism; Predictive validity; Psychology; Logistic regression; Risk assessment; Scale (ratio); Sex offender; Inter-rater reliability; Reliability (semiconductor); Demography; Predictive power; Sex offense; Goodness of fit; Statistics; Incremental validity; Clinical psychology; Test validity; Poison control; Psychometrics; Human factors and ergonomics; Sexual abuse; Developmental psychology; Medicine; Rating scale; Mathematics; Computer science; Geography; Environmental health; Sociology; Computer security; Cartography; Power (physics)","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":[0.009528339,0.0003752429,0.0006979167,0.002582968,0.000645509,0.0007420545,0.001175671,0.000377698,0.001355728],"category_scores_gemma":[0.02112952,0.0003223511,0.001145918,0.001788463,0.0002479805,0.0006814218,0.001035238,0.0007824342,0.0001560192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002212083,"about_ca_system_score_gemma":0.003098312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03810525,"about_ca_topic_score_gemma":0.1037149,"domain_scores_codex":[0.9944863,0.002932744,0.0006425219,0.0003556833,0.001442492,0.000140193],"domain_scores_gemma":[0.9918886,0.002697188,0.002420161,0.0004280514,0.002405959,0.0001599951],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006037533,0.0002784302,0.8292996,0.0006632096,0.001133534,0.0002182695,0.001020636,0.002201405,0.001206888,0.001794084,0.004236465,0.1573438],"study_design_scores_gemma":[0.0001404019,0.0009558243,0.9766513,0.0006482673,0.0006403748,0.0006687126,0.0008070522,0.005324945,0.001010701,0.000934405,0.0121444,0.00007374821],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.964081,0.007358733,0.01267656,0.0007025134,0.0001600996,0.002598878,0.005620783,0.0001176071,0.006683673],"genre_scores_gemma":[0.944016,0.002974724,0.04151856,0.000242566,0.00004799856,0.002536222,0.006010054,0.00002614713,0.002627672],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03810525,"threshold_uncertainty_score":0.07576692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02431790576071911,"score_gpt":0.3093579479231147,"score_spread":0.2850400421623955,"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."}}