{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002322527,0.0002022378,0.0002391338,0.00005047422,0.00001451278,0.00002186882,0.000418983,0.0002289398,0.0001082113],"category_scores_gemma":[0.0001571813,0.0001786411,0.00007405815,0.00006548989,0.00005105424,7.889036e-7,0.001006674,0.0003090207,0.00002444291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001458172,"about_ca_system_score_gemma":0.004962475,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8653434,"about_ca_topic_score_gemma":0.973227,"domain_scores_codex":[0.9984246,0.00007128528,0.0002564529,0.0005889002,0.0003042381,0.0003544974],"domain_scores_gemma":[0.9988813,0.00003312392,0.00006074138,0.0008392323,0.00009965654,0.00008591771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003922326,0.00006210645,0.4122109,0.001327155,0.0002530849,0.00011085,0.0000630516,0.02011715,0.03278068,0.0001723043,0.4894178,0.04309269],"study_design_scores_gemma":[0.002823975,0.001086646,0.4240986,0.003262392,0.00008960219,0.0001149908,0.001033581,0.01455291,0.4272289,0.00283674,0.118194,0.004677561],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986359,0.004422548,0.0003928103,0.0005384773,0.0006683997,0.0005124365,0.00002101332,0.000003789482,0.007081536],"genre_scores_gemma":[0.9911755,0.0008083835,0.0005719805,0.0004103589,0.0001351431,0.00003304817,0.0001137078,0.00002134216,0.006730475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3944482,"threshold_uncertainty_score":0.8803217,"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."}}