{"id":"W7096641325","doi":"","title":"Criminal Profi ling Belief and Use Criminal Profiling Belief and Use: A Study of Canadian Police Officer Opinion","year":2015,"lang":"en","type":"article","venue":"","topic":"Plant Gene Expression Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Officer; Offender profiling; Profiling (computer programming); Criminal investigation; Interrogation; Criminal justice","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003852855,0.0003700448,0.0006000052,0.002432072,0.009360762,0.003454668,0.002168166,0.001115328,0.00460084],"category_scores_gemma":[0.01479202,0.0009312672,0.0005354974,0.004248777,0.002950721,0.001372395,0.002280759,0.002754506,0.0004219621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02507262,"about_ca_system_score_gemma":0.02684332,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9859205,"about_ca_topic_score_gemma":0.9919813,"domain_scores_codex":[0.9968846,0.0004306099,0.000144502,0.0002086932,0.001529359,0.0008022121],"domain_scores_gemma":[0.9896978,0.001632116,0.002062694,0.0002824294,0.004617773,0.001707195],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000138291,0.0002789614,0.7900181,0.00008316343,0.0000652372,0.0002353374,0.1937452,0.00006117234,0.0002530489,0.0008525032,0.004052198,0.01021679],"study_design_scores_gemma":[0.000008928712,0.00004617074,0.8937784,0.00008475367,0.00001430091,0.00006757834,0.1025632,0.0001429387,0.00003624619,0.00006579857,0.003153247,0.00003852232],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954608,0.0001897039,0.00003045312,0.0006953134,0.00001575785,0.00004461049,0.00031524,0.000001583641,0.003246552],"genre_scores_gemma":[0.9971776,0.0003268581,0.00006721191,0.0002117123,0.000008762261,0.00004007593,0.0002494129,0.000004843911,0.001913343],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02507262,"threshold_uncertainty_score":0.1819155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05927178451856441,"score_gpt":0.3002868055651228,"score_spread":0.2410150210465584,"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."}}