{"id":"W4402556417","doi":"10.1093/fsr/owae054","title":"Succeeding together: the power of collaboration between forensic and criminal intelligence","year":2024,"lang":"en","type":"article","venue":"Forensic Sciences Research","topic":"Crime, Illicit Activities, and Governance","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Gouvernement du Québec","funders":"","keywords":"Forensic science; Criminal investigation; Power (physics); Criminology; Psychology; History; Archaeology; Physics","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.005708362,0.00008896813,0.0001430635,0.0002135515,0.001290518,0.000567222,0.0005113806,0.00007056729,0.00009797877],"category_scores_gemma":[0.001421623,0.00006043389,0.00004248933,0.002237505,0.006132209,0.0005932961,0.0001396955,0.0002826726,0.00001395362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001118523,"about_ca_system_score_gemma":0.0006920711,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00744688,"about_ca_topic_score_gemma":0.005095065,"domain_scores_codex":[0.9970359,0.0002521398,0.000208371,0.000350779,0.00163938,0.0005134774],"domain_scores_gemma":[0.9969489,0.002387259,0.00005074247,0.0001515862,0.0003702701,0.00009125287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002472894,0.00002039176,0.01494241,0.00008259813,0.00002677103,0.000007332577,0.1817974,0.00001685005,0.0007802983,0.6220546,0.01026338,0.1699832],"study_design_scores_gemma":[0.0001354479,0.001057617,0.02106137,0.0005818632,0.00005120265,0.000008490368,0.6753945,0.002106279,0.02415862,0.1470177,0.1279303,0.0004965278],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9578997,0.002186083,0.0002262077,0.00476612,0.0004988069,0.000309885,0.00001973519,0.00003370693,0.03405977],"genre_scores_gemma":[0.9979609,0.0004168287,0.0001917519,0.00002772262,0.0003242588,0.00001116411,7.249974e-7,0.000006742293,0.001059896],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4935971,"threshold_uncertainty_score":0.9991626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1600006292146497,"score_gpt":0.4552114306640995,"score_spread":0.2952108014494498,"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."}}