{"id":"W4252237252","doi":"10.1038/sj.modpathol.3800904","title":"Autopsy","year":2005,"lang":"en","type":"article","venue":"Modern Pathology","topic":"Autopsy Techniques and Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Pathology; Medicine; Autopsy","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":[0.00008773112,0.0000804173,0.0001879554,0.00005277196,0.0000278616,0.000003086011,0.00005286421,0.0001127439,0.0003107747],"category_scores_gemma":[0.00002231777,0.00006501746,0.00006519709,0.00003789692,0.00004455396,0.00002873102,0.00003414666,0.0001298143,0.000197972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003345772,"about_ca_system_score_gemma":0.000022589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002333907,"about_ca_topic_score_gemma":0.000003409041,"domain_scores_codex":[0.999419,0.000014945,0.0001301227,0.0001745001,0.00007191177,0.0001894765],"domain_scores_gemma":[0.9996132,0.00001152392,0.00002654773,0.0002683897,0.00002198185,0.0000583272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001266516,0.0003855956,0.07840312,0.00005006055,0.00004242106,0.00150489,0.001793466,0.00003278487,0.05410064,0.01722245,0.01202097,0.834317],"study_design_scores_gemma":[0.003157518,0.0007833437,0.4306021,0.00004490083,0.0001542387,0.006747832,0.00004095169,0.02182274,0.02562439,0.01555149,0.4949237,0.0005468169],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8719062,0.0004840486,0.06227228,0.01157972,0.0001157082,0.0002336652,0.000003324139,0.0006287562,0.05277634],"genre_scores_gemma":[0.9581588,0.00002275723,0.02664764,0.005143445,0.0001659326,0.00001359314,0.000006357501,0.00001616223,0.009825326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8337702,"threshold_uncertainty_score":0.3402764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01900281677509417,"score_gpt":0.3039471877291013,"score_spread":0.2849443709540072,"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."}}