{"id":"W3015894441","doi":"10.1111/ctr.13870","title":"Clinical judgment versus lung allocation score in predicting lung transplant waitlist mortality","year":2020,"lang":"en","type":"article","venue":"Clinical Transplantation","topic":"Transplantation: Methods and Outcomes","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Toronto; University of Alberta","funders":"","keywords":"Medicine; Lung transplantation; Cohort; Internal medicine; Proportional hazards model; Transplantation; Retrospective cohort study","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002178483,0.0003169525,0.0008715272,0.00009408653,0.0001063953,0.00003473153,0.0001799653,0.0003982784,0.000106186],"category_scores_gemma":[0.000334723,0.0002917137,0.0004584306,0.0003849709,0.0001770285,0.0002527353,0.00000887127,0.0009247317,0.00002663251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007104073,"about_ca_system_score_gemma":0.0002086219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008797291,"about_ca_topic_score_gemma":0.000205051,"domain_scores_codex":[0.9952419,0.0006396546,0.002307947,0.0008408727,0.0005647534,0.000404831],"domain_scores_gemma":[0.9970818,0.001744668,0.0002769869,0.0003014856,0.0001001599,0.0004949452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005373895,0.0003297207,0.9843546,0.001150835,0.0002353621,0.0003020261,0.001340444,0.0001312363,0.0002438616,0.0003641861,0.00006790536,0.006105998],"study_design_scores_gemma":[0.01299123,0.0006250371,0.9665675,0.0005737099,0.001363335,0.00002175881,0.0001322636,0.01693282,0.0003597497,0.00003142056,0.0001120435,0.0002891895],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9448122,0.0002241,0.04809074,0.002987592,0.001365245,0.001077241,0.0001389598,0.0002170412,0.001086824],"genre_scores_gemma":[0.9850327,0.003627365,0.007682447,0.001750608,0.0008318755,0.0000461242,0.0009632466,0.00004408328,0.0000214981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04040829,"threshold_uncertainty_score":0.9999535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2333238736217264,"score_gpt":0.4723398515965715,"score_spread":0.2390159779748451,"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."}}