{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001128281,0.00007584719,0.0001091644,0.0000541637,0.00004183797,0.00001096151,0.0000353476,0.00007596247,0.0001875899],"category_scores_gemma":[0.00006313886,0.00006651273,0.00002738717,0.0001598505,0.00005667357,0.0001397875,0.000009978819,0.0001043512,0.0001700751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000675769,"about_ca_system_score_gemma":0.000113156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004201727,"about_ca_topic_score_gemma":0.000003961109,"domain_scores_codex":[0.999467,0.00001745067,0.0001477841,0.0001226825,0.0001360947,0.000109008],"domain_scores_gemma":[0.9995475,0.00001075312,0.00004746036,0.0001917417,0.00009053529,0.0001120457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005347415,0.0001490645,0.5094244,0.0001727348,0.00007153032,0.00004609197,0.002150645,0.00002947271,0.2732135,0.09290001,0.0831933,0.03859574],"study_design_scores_gemma":[0.0006920607,0.0001195909,0.3030834,0.00006869008,0.00005370418,0.00001893753,0.00004928189,0.001005163,0.2459914,0.001775995,0.4469376,0.0002041428],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.983055,0.0001421136,0.0004406567,0.009243354,0.00008257747,0.0002064545,0.000005430868,0.0005502046,0.006274227],"genre_scores_gemma":[0.9562548,0.00001079096,0.0302639,0.01116818,0.0003322246,0.00001811516,0.0000257426,0.00001703789,0.00190924],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3637443,"threshold_uncertainty_score":0.271231,"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."}}