{"id":"W1989573723","doi":"10.1038/sj.bmt.1704869","title":"Maintaining high autopsy rates in a Canadian blood and marrow transplant program: preserving a diagnostic and research tool","year":2005,"lang":"en","type":"article","venue":"Bone Marrow Transplantation","topic":"Neonatal Respiratory Health Research","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Hôpital Maisonneuve-Rosemont","funders":"","keywords":"Autopsy; Medicine; Cause of death; Mortality rate; Medical diagnosis; Hematopoietic stem cell transplantation; Transplantation; Surgery; Pediatrics; Disease; Internal medicine; Pathology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002146998,0.0002108801,0.0003275548,0.0008438618,0.0002473508,0.0000981365,0.00009915296,0.0001863009,0.0001058232],"category_scores_gemma":[0.0004449705,0.000209575,0.00002846721,0.0005241077,0.0001715175,0.0002808965,0.00001774398,0.0007237235,0.00001223374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002209991,"about_ca_system_score_gemma":0.0008477552,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.09089348,"about_ca_topic_score_gemma":0.3653113,"domain_scores_codex":[0.9969354,0.0003286615,0.000463525,0.0005296453,0.0006490059,0.001093717],"domain_scores_gemma":[0.9978294,0.001058493,0.00003824333,0.0002207418,0.0001314448,0.0007216282],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00341521,0.0005644624,0.62995,0.008565295,0.0001079377,0.00996906,0.00822778,0.00005856755,0.03545158,0.003417844,0.00010175,0.3001705],"study_design_scores_gemma":[0.008729933,0.00139633,0.9700252,0.002264605,0.0001573851,0.001477232,0.0003216375,0.003075655,0.005124424,0.0004190312,0.006543448,0.0004651184],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889154,0.003183844,0.00001388711,0.004957648,0.00002541227,0.002126653,0.00008247518,0.00006497918,0.0006296925],"genre_scores_gemma":[0.9933453,0.003635429,0.001813798,0.0002775684,0.0001092392,0.0004807215,0.0001318392,0.00004249748,0.0001636376],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3400752,"threshold_uncertainty_score":0.9151604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03641541207262874,"score_gpt":0.3613599104319858,"score_spread":0.3249444983593571,"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."}}