{"id":"W2892998665","doi":"","title":"Forensic Bitemark Identification Evidence in Canada","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Forensic and Genetic Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Forensic identification; Medicine; Identification (biology); Forensic science; Transparency (behavior); Law; Forensic engineering; Engineering; Political science; Archaeology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.01428467,0.0004531211,0.0009539434,0.01291273,0.01061007,0.008416666,0.004515336,0.003029279,0.00778424],"category_scores_gemma":[0.05736739,0.0008647899,0.0005910664,0.01937285,0.0052457,0.001729425,0.004073977,0.003101023,0.000644094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08113876,"about_ca_system_score_gemma":0.2484536,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9754764,"about_ca_topic_score_gemma":0.9891733,"domain_scores_codex":[0.9789733,0.001645993,0.001662925,0.001602229,0.01376469,0.002350865],"domain_scores_gemma":[0.9301443,0.01782957,0.006881729,0.00219873,0.03993104,0.003014646],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003391262,0.0001606937,0.1027951,0.00585495,0.0003553175,0.01506705,0.03033031,0.00135197,0.002378455,0.2212722,0.2192528,0.400842],"study_design_scores_gemma":[0.00006057684,0.00006416472,0.1462024,0.008889935,0.0006053838,0.005178416,0.01411973,0.001669915,0.00434341,0.02088203,0.797613,0.0003710948],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2315498,0.2469901,0.006364602,0.1526207,0.002814232,0.0007100341,0.01264056,0.0002997965,0.3460102],"genre_scores_gemma":[0.822141,0.1159858,0.008297799,0.02561284,0.0003697496,0.0001114696,0.003003926,0.0001251687,0.02435218],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08113876,"threshold_uncertainty_score":0.5887057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01287194904221221,"score_gpt":0.2708517496198683,"score_spread":0.2579798005776561,"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."}}