{"id":"W2809535230","doi":"10.31228/osf.io/m4ndz","title":"Forensic Bitemark Evidence in Canada","year":2019,"lang":"en","type":"preprint","venue":"","topic":"Forensic and Genetic Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Forensic identification; Identification (biology); Forensic science; Transparency (behavior); Law; 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":[0.01257068,0.0005002889,0.0009619454,0.01023772,0.009812554,0.01037015,0.004010887,0.003599236,0.01178183],"category_scores_gemma":[0.05425879,0.0007679222,0.0006384167,0.01513686,0.006360553,0.002204513,0.004616037,0.003593217,0.0009155262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08295634,"about_ca_system_score_gemma":0.2574695,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9688417,"about_ca_topic_score_gemma":0.9821206,"domain_scores_codex":[0.9824101,0.001550467,0.00117221,0.001433969,0.01151223,0.001921092],"domain_scores_gemma":[0.9473051,0.0148732,0.004006641,0.002020051,0.02857115,0.003223731],"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":[0.0001758537,0.00009556834,0.03433291,0.003033082,0.0001929716,0.007706105,0.01372624,0.001313985,0.001146032,0.2973925,0.2772161,0.3636687],"study_design_scores_gemma":[0.00003847963,0.00003401297,0.04833855,0.004690154,0.0002260379,0.002956507,0.005134282,0.0008306779,0.001734772,0.02413604,0.9116834,0.0001970149],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09021454,0.3204312,0.006412532,0.1873735,0.004063431,0.0004616778,0.008681029,0.0003022302,0.3820599],"genre_scores_gemma":[0.665202,0.218774,0.01209548,0.04287289,0.001051054,0.0001509921,0.003504793,0.000228998,0.05611996],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08295634,"threshold_uncertainty_score":0.6018932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0322728053027425,"score_gpt":0.2874479358108612,"score_spread":0.2551751305081187,"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."}}