{"id":"W2943349361","doi":"10.1016/j.scijus.2019.04.004","title":"Management of crime scene units by Quebec police senior managers: Insight on forensic knowledge and understanding of key stakeholders","year":2019,"lang":"en","type":"article","venue":"Science & Justice","topic":"Crime, Illicit Activities, and Governance","field":"Social Sciences","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Université du Québec à Trois-Rivières; International Centre for Comparative Criminology; Université du Québec à Montréal","funders":"Université de Lausanne; University of Toronto","keywords":"Law enforcement; Forensic science; Scope (computer science); Police science; Public relations; Criminology; Perception; Empirical research; Enforcement; Political science; Psychology; Law; Criminal justice; Medicine; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.002687126,0.0002449224,0.0001955898,0.002209599,0.00932722,0.004597873,0.001750962,0.0009536585,0.004705243],"category_scores_gemma":[0.01299234,0.0002138209,0.000159626,0.002595444,0.002844392,0.002503756,0.002294064,0.001382404,0.0002207103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04747954,"about_ca_system_score_gemma":0.08324351,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9482343,"about_ca_topic_score_gemma":0.9790643,"domain_scores_codex":[0.9978262,0.0008075669,0.00006733854,0.00014604,0.0003680943,0.0007847694],"domain_scores_gemma":[0.9909086,0.00210863,0.001941892,0.0002492174,0.003360197,0.00143151],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00009380112,0.000352629,0.3637859,0.000251539,0.00005832865,0.001331767,0.4635723,0.001556655,0.001365807,0.01740698,0.02174173,0.1284825],"study_design_scores_gemma":[0.000006380108,0.00005372367,0.3074458,0.0004270151,0.00002195109,0.0001138183,0.6588229,0.001739991,0.0003193684,0.001764488,0.02924177,0.00004279631],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9666167,0.0004601216,0.0007769808,0.009339637,0.00001943007,0.0001598106,0.0002555493,0.00001649726,0.02235528],"genre_scores_gemma":[0.9957649,0.0003297106,0.0004175882,0.0003616257,0.000004910055,0.00003310113,0.00008346644,0.000003513173,0.003001368],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05176568,"threshold_uncertainty_score":0.3444898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0848842026195279,"score_gpt":0.3150966735064233,"score_spread":0.2302124708868954,"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."}}