{"id":"W2142486524","doi":"10.1177/0093854806296925","title":"Taking Stock of Criminal Profiling","year":2007,"lang":"en","type":"article","venue":"Criminal Justice and Behavior","topic":"Psychopathy, Forensic Psychiatry, Sexual Offending","field":"Psychology","cited_by":87,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick; Memorial University of Newfoundland","funders":"American Psychological Association","keywords":"Psychology; Offender profiling; Cognition; Meta-analysis; Narrative; Narrative review; Profiling (computer programming); Criminal history; Poison control; Empirical research; Human factors and ergonomics; Social psychology; Clinical psychology; Criminology; Computer science; Medicine; Psychotherapist; Psychiatry; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005892023,0.0002765417,0.0003319094,0.0002623732,0.000170088,0.00002749283,0.0002400606,0.0001855789,0.0003162758],"category_scores_gemma":[0.00007094568,0.0002723977,0.00009350849,0.000212445,0.000241478,0.0001248309,0.0000678034,0.0003504298,0.00004605792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003829623,"about_ca_system_score_gemma":0.00003403105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001341646,"about_ca_topic_score_gemma":0.00002905424,"domain_scores_codex":[0.99793,0.00004953421,0.0005837047,0.000499122,0.0003047051,0.0006329578],"domain_scores_gemma":[0.9987369,0.0001711281,0.0003718663,0.0003897552,0.000117963,0.0002123454],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0027502,0.003925757,0.08360297,0.005243233,0.0001763771,0.001621764,0.04927563,0.000002334925,0.1562889,0.04010668,0.009218299,0.6477878],"study_design_scores_gemma":[0.002347199,0.00180862,0.7903329,0.0003061439,0.02340786,0.001218351,0.167468,0.00001886581,0.01147627,0.00008022027,0.000586732,0.0009488431],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9559261,0.0008132563,0.001832004,0.00001910591,0.02935318,0.0003055245,0.00001688798,0.00006816773,0.01166581],"genre_scores_gemma":[0.9931489,0.000007761646,0.004885494,0.0001955315,0.001396011,0.00002623809,0.00001233935,0.0000445343,0.0002832187],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7067299,"threshold_uncertainty_score":0.9999728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0937041321118541,"score_gpt":0.3947959447571349,"score_spread":0.3010918126452808,"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."}}