{"id":"W2473103752","doi":"10.1016/j.jcrimjus.2016.05.005","title":"Debunking the psychometric properties of the LS\\CMI: An application of item response theory with a risk assessment instrument","year":2016,"lang":"en","type":"article","venue":"Journal of Criminal Justice","topic":"Psychopathy, Forensic Psychiatry, Sexual Offending","field":"Psychology","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Psychology; Item response theory; Predictive validity; Sample (material); Officer; Psychometrics; Test (biology); Clinical psychology; Applied psychology","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":[0.03626624,0.0008099477,0.0007826359,0.002029946,0.0007650083,0.001791011,0.001331032,0.001121082,0.002608779],"category_scores_gemma":[0.130038,0.000646633,0.002337893,0.001808107,0.001154231,0.00232187,0.002162824,0.00237319,0.0006235817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000911659,"about_ca_system_score_gemma":0.001581316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001803064,"about_ca_topic_score_gemma":0.00242382,"domain_scores_codex":[0.985756,0.008865421,0.001650106,0.0007091447,0.002756353,0.0002630435],"domain_scores_gemma":[0.86752,0.1099388,0.004546678,0.007936342,0.009351571,0.0007065769],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002453891,0.0009234641,0.6713405,0.0003543179,0.0009303959,0.000124367,0.006822767,0.005851934,0.004855441,0.007003958,0.003249159,0.2960898],"study_design_scores_gemma":[0.0006880944,0.00383768,0.8610842,0.000407881,0.0008704963,0.0004061742,0.003568827,0.09665634,0.009418235,0.01412529,0.008674148,0.0002626683],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9422983,0.0002569194,0.05108502,0.0006563634,0.000161136,0.000778536,0.0003445104,0.0002366956,0.004182592],"genre_scores_gemma":[0.9566103,0.0001024286,0.04093411,0.0001712838,0.00004393225,0.0008004498,0.0003855376,0.00009643888,0.0008554549],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03626624,"threshold_uncertainty_score":0.1917965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04170780184185405,"score_gpt":0.3263802037696498,"score_spread":0.2846724019277957,"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."}}