{"id":"W4407155957","doi":"10.1080/00085030.2025.2459195","title":"Development of a competency test model to evaluate forensic identification officers on crime scene processing","year":2025,"lang":"en","type":"article","venue":"Canadian Society of Forensic Science Journal","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Regional Municipality of Niagara; Montreal Police Service; Trent University","funders":"","keywords":"Forensic science; Crime scene; Identification (biology); Test (biology); Psychology; Criminology; Applied psychology; History; Archaeology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001565689,0.0001405568,0.000228896,0.0005973726,0.0007655612,0.0001437362,0.001376697,0.00006698379,0.000001927347],"category_scores_gemma":[0.0002247336,0.0001322968,0.0001040872,0.002012266,0.0006932094,0.0003315308,0.0001014275,0.0002350455,0.000003836552],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007520935,"about_ca_system_score_gemma":0.01028095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002049759,"about_ca_topic_score_gemma":0.001044851,"domain_scores_codex":[0.9979267,0.00001191425,0.0005299861,0.0003868627,0.00064072,0.0005038338],"domain_scores_gemma":[0.9979846,0.00003888894,0.0003147184,0.0003640069,0.0009925228,0.0003052453],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000005251145,0.00008689402,0.001438499,0.00005903506,0.00003099825,0.000002598903,0.005982633,0.003345868,0.08879026,0.01857981,0.005522313,0.8761559],"study_design_scores_gemma":[0.0007266288,0.0002052067,0.1140469,0.001139236,0.00003806263,0.00004373767,0.001965425,0.4868475,0.3827518,0.01118896,0.0005723911,0.0004741379],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6049597,0.00008638841,0.3873698,0.004953111,0.0004483098,0.000233699,0.000005868619,0.00005338848,0.001889818],"genre_scores_gemma":[0.631149,0.000002393229,0.3683652,0.0004159739,0.000008152425,0.000002611652,3.739809e-7,0.000003224163,0.00005306768],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8756817,"threshold_uncertainty_score":0.9953299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03307738718726991,"score_gpt":0.2970630294662097,"score_spread":0.2639856422789398,"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."}}