{"id":"W16301130","doi":"","title":"The uses of offender profiling in the Canadian Criminal Justice system","year":2012,"lang":"en","type":"dissertation","venue":"UPT. Syiah Kuala University Library (Syiah Kuala University)","topic":"Forensic and Genetic Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Profiling (computer programming); Offender profiling; Suspect; Racial profiling; Criminal justice; Confidentiality; Criminology; Criminal investigation; Political science; Psychology; Law; Sociology; Computer science; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.000403331,0.0004226668,0.0003784608,0.0006628024,0.001319407,0.00008246462,0.001923779,0.0006966191,0.00004445319],"category_scores_gemma":[0.00005692321,0.0003665891,0.0002656599,0.0008507271,0.0004150936,0.00007888251,0.0004735778,0.0006472626,0.00001862253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001844287,"about_ca_system_score_gemma":0.001979316,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.009582934,"about_ca_topic_score_gemma":0.0718887,"domain_scores_codex":[0.9971042,0.0006605729,0.0002912021,0.0006005078,0.0005402946,0.0008032327],"domain_scores_gemma":[0.998203,0.0001609149,0.000281738,0.0008247487,0.0002199271,0.0003097056],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01708602,0.001866785,0.07242108,0.01684596,0.005088029,0.005681653,0.05785736,0.001088902,0.02678799,0.6166902,0.1584383,0.0201477],"study_design_scores_gemma":[0.002193959,0.0005664322,0.02542361,0.0004600627,0.001818976,0.00006170014,0.3366758,0.0001100103,0.01619001,0.0000650531,0.6150447,0.001389776],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7974278,0.001347552,0.00002899901,0.0003324795,0.0007640145,0.0009588096,0.0003047998,0.00003899231,0.1987966],"genre_scores_gemma":[0.9247245,0.0009797931,0.0002011489,0.00006606112,0.0002519331,9.738995e-7,0.001772949,0.00005435033,0.0719483],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6166251,"threshold_uncertainty_score":0.9999807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01533559000113639,"score_gpt":0.2162861780990318,"score_spread":0.2009505880978954,"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."}}