{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001079175,0.00008633515,0.00008252101,0.00005117528,0.00008942847,0.00002344524,0.0002454051,0.00004840871,0.00001823326],"category_scores_gemma":[0.0001911042,0.00007739913,0.00003567247,0.0001448095,0.00008189779,0.000005699766,0.00004650578,0.0003987105,0.00001543325],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005654953,"about_ca_system_score_gemma":0.008764382,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1858282,"about_ca_topic_score_gemma":0.9661382,"domain_scores_codex":[0.9980974,0.00007707931,0.0002242484,0.0002037468,0.0002389707,0.00115851],"domain_scores_gemma":[0.9994799,0.00001317231,0.00007243346,0.0002171762,0.0001541004,0.0000631428],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007766878,0.00008163555,0.2011725,0.00003577099,0.0002905447,0.0000237929,0.0001439829,0.0001238949,0.4389804,0.006704535,0.01924478,0.3324215],"study_design_scores_gemma":[0.00394034,0.005156825,0.2854485,0.0003741909,0.00008222581,0.003542939,0.008916254,0.001669556,0.5386754,0.1193768,0.03100306,0.00181385],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929453,0.003782223,0.002237715,0.0005272924,0.0001972616,0.00008828558,0.000001260292,0.000001367916,0.000219303],"genre_scores_gemma":[0.995339,0.002519195,0.00004850548,0.0001060941,0.0003921575,0.000004400737,0.000007121958,0.00001096708,0.001572588],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.78031,"threshold_uncertainty_score":0.996855,"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."}}