{"id":"W61702297","doi":"10.1520/jfs15578j","title":"HbA1c as a Postmortem Tool to Identify Glycemic Control","year":2002,"lang":"en","type":"article","venue":"Journal of Forensic Sciences","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Office of the Chief Medical Examiner","funders":"","keywords":"Glycemic; Medicine; Internal medicine; Insulin","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.002647062,0.0004277271,0.0003038151,0.001228183,0.0004037074,0.0007776557,0.00037791,0.0003490688,0.0006990196],"category_scores_gemma":[0.006292168,0.0001690246,0.0001753492,0.0005836121,0.0004827381,0.0002886689,0.0003574523,0.0005318839,0.0002395014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002415424,"about_ca_system_score_gemma":0.0002796772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001380872,"about_ca_topic_score_gemma":0.002440455,"domain_scores_codex":[0.9985487,0.0007781292,0.00008758521,0.0001718466,0.0003312134,0.00008252214],"domain_scores_gemma":[0.9967048,0.00113661,0.0007953848,0.0002855156,0.0008426599,0.0002351788],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001229168,0.0002561063,0.9134071,0.00008424922,0.00007313712,0.0005732969,0.0003884152,0.0002832331,0.01296234,0.0002779897,0.0008043844,0.06966051],"study_design_scores_gemma":[0.00009478844,0.00405444,0.9228397,0.000270821,0.0003316614,0.007298511,0.001167938,0.008465021,0.04863573,0.0008562234,0.005925428,0.00005974191],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9865246,0.005736421,0.003799823,0.0003057951,0.0001088394,0.00008447353,0.0002345849,0.00004262362,0.003162887],"genre_scores_gemma":[0.9897914,0.001540074,0.007642888,0.0001505439,0.00005300558,0.00002816663,0.0001430288,0.000006878287,0.0006439592],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002647062,"threshold_uncertainty_score":0.01399916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02478120762997583,"score_gpt":0.3012699555628828,"score_spread":0.276488747932907,"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."}}