{"id":"W4231279894","doi":"10.1038/sj.labinvest.3700631","title":"Autopsy","year":2005,"lang":"en","type":"article","venue":"Laboratory Investigation","topic":"Autopsy Techniques and Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Health Network; University of Toronto","funders":"","keywords":"Autopsy; Medicine; Quality management; Medical emergency; Pathology; Operations management; Management system; Engineering","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":[0.001292224,0.0006681081,0.0003264118,0.003045552,0.001348432,0.00120941,0.0008689442,0.0008767942,0.07423276],"category_scores_gemma":[0.004588455,0.0002892891,0.0005383531,0.0007763033,0.0005396144,0.0006912065,0.001386729,0.001174805,0.02443338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005129781,"about_ca_system_score_gemma":0.001963321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001074824,"about_ca_topic_score_gemma":0.001697431,"domain_scores_codex":[0.999316,0.0001621903,0.00008535,0.0001320317,0.0001904644,0.000114052],"domain_scores_gemma":[0.9982749,0.0002094663,0.0001363163,0.0005059047,0.000661854,0.0002115973],"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":[0.0006372284,0.0005292526,0.05816728,0.0007732187,0.0001187106,0.0419088,0.001803446,0.0004268869,0.01248162,0.02490595,0.2661056,0.592142],"study_design_scores_gemma":[0.00008645885,0.000262673,0.03346983,0.001101088,0.0001113884,0.100174,0.001151471,0.0004202954,0.009913776,0.008457311,0.8448038,0.00004779668],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08365957,0.008387418,0.03116713,0.00891726,0.0039257,0.002396598,0.006524505,0.002007435,0.8530145],"genre_scores_gemma":[0.4033901,0.01344291,0.04069975,0.00999678,0.003543756,0.001146381,0.0114333,0.0005623878,0.5157846],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07423276,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01557361160764488,"score_gpt":0.2776248106973186,"score_spread":0.2620511990896737,"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."}}