{"id":"W2006138542","doi":"10.1520/jfs2003095","title":"Expert Testimony and Positive Identification of Human Remains Through Cranial Suture Patterns","year":2004,"lang":"en","type":"article","venue":"Journal of Forensic Sciences","topic":"Craniofacial Disorders and Treatments","field":"Biochemistry, Genetics and Molecular Biology","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Toronto","funders":"","keywords":"Identification (biology); Terminology; Fibrous joint; Radiography; Resolution (logic); Computed tomography; Forensic anthropology; Forensic identification; Medicine; Psychology; Computer science; Artificial intelligence; Surgery; Geography; Biology; Archaeology; Philosophy","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":[0.003631988,0.0002389362,0.0002304382,0.001103377,0.001153646,0.0007928492,0.0005468873,0.002861539,0.005495867],"category_scores_gemma":[0.02641676,0.0001853024,0.0001683717,0.0004110752,0.001290559,0.0004824671,0.001330326,0.0009419763,0.0008321952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002741288,"about_ca_system_score_gemma":0.000667344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005675642,"about_ca_topic_score_gemma":0.001513836,"domain_scores_codex":[0.9962884,0.001763183,0.0003479136,0.0002567544,0.001107954,0.0002357914],"domain_scores_gemma":[0.9893135,0.005059111,0.002759142,0.0008882321,0.001424067,0.0005559851],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"observational","study_design_scores_codex":[0.002378027,0.0005575804,0.2515893,0.002706503,0.0002507993,0.3990729,0.03975561,0.0009666083,0.03237884,0.03842983,0.07216281,0.1597511],"study_design_scores_gemma":[0.00008520792,0.001094812,0.1472641,0.001953374,0.0002178815,0.644983,0.02274863,0.002191713,0.02157015,0.01745167,0.1402499,0.0001896104],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8450912,0.006009207,0.009047139,0.0138253,0.001131491,0.0004348038,0.001148852,0.00003660733,0.1232755],"genre_scores_gemma":[0.9785121,0.001963902,0.004954913,0.002688889,0.0003238463,0.0001010091,0.0001834906,0.000005156432,0.0112666],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005495867,"threshold_uncertainty_score":0.01920807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01487392571839865,"score_gpt":0.3060427713887349,"score_spread":0.2911688456703363,"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."}}