{"id":"W2013898388","doi":"10.1177/0093854812451680","title":"Can We Do Better?","year":2012,"lang":"en","type":"article","venue":"Criminal Justice and Behavior","topic":"Psychopathy, Forensic Psychiatry, Sexual Offending","field":"Psychology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Predictive validity; Decision tree; Variety (cybernetics); Construct (python library); Predictive modelling; Regression analysis; Statistics; Tree (set theory); Computer science; Psychology; Machine learning; Econometrics; Clinical psychology; Mathematics","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":[0.02070145,0.001441865,0.002058815,0.002750324,0.006454521,0.01389158,0.002923526,0.01039,0.0562348],"category_scores_gemma":[0.06402796,0.0004785536,0.001701454,0.00161353,0.01383332,0.03130997,0.008656453,0.02381448,0.02787144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003939913,"about_ca_system_score_gemma":0.01300191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008112437,"about_ca_topic_score_gemma":0.01366273,"domain_scores_codex":[0.988887,0.005824754,0.0004893919,0.001102571,0.002224645,0.00147177],"domain_scores_gemma":[0.9709889,0.009622768,0.001660863,0.003265731,0.006627844,0.007833808],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001247028,0.0003028475,0.003516589,0.0008359998,0.0001873594,0.0004015884,0.003752537,0.0002129199,0.0002084684,0.04852656,0.6991408,0.2427895],"study_design_scores_gemma":[0.00007438736,0.0001532833,0.001881395,0.004206925,0.000103263,0.0006457422,0.01377722,0.0001781501,0.0002069292,0.1505662,0.8281072,0.00009928285],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001231215,0.02089274,0.002112843,0.9515194,0.01075302,0.0000428376,0.0001402622,0.0001918578,0.01311596],"genre_scores_gemma":[0.05086528,0.07516777,0.01639861,0.7997778,0.0176805,0.0003862115,0.0005128415,0.0005214972,0.03868942],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.0562348,"threshold_uncertainty_score":0.1881242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06686756890832432,"score_gpt":0.3567135288765295,"score_spread":0.2898459599682052,"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."}}