{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002943918,0.0003106919,0.0002716046,0.0008786237,0.0003300775,0.0009973837,0.0003705473,0.0003405339,0.0009613447],"category_scores_gemma":[0.007750929,0.00009312409,0.0002941792,0.0007411622,0.0004426976,0.0003643388,0.0004831953,0.0004801841,0.0001740363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001458082,"about_ca_system_score_gemma":0.002177251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08460471,"about_ca_topic_score_gemma":0.1528953,"domain_scores_codex":[0.9990754,0.0003518764,0.00006218349,0.00007804646,0.0003059859,0.0001265515],"domain_scores_gemma":[0.9971871,0.0010175,0.0006239067,0.00008407412,0.0004913979,0.0005960398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001937843,0.00001511867,0.9949739,0.000008298784,0.00003221458,0.00001577614,0.00003959242,0.0001928882,0.00004847579,0.00005278992,0.000253856,0.004173383],"study_design_scores_gemma":[0.0000385815,0.0002237407,0.9915494,0.00003589071,0.00009382563,0.0001211427,0.0001991244,0.006536562,0.0001560305,0.0002389288,0.0007909641,0.00001576066],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961498,0.0008580924,0.0004251734,0.000319392,0.0000278818,0.00001915345,0.0003018805,0.000008016674,0.001890622],"genre_scores_gemma":[0.999267,0.00008947518,0.0002245308,0.00002697396,0.00001516095,0.00000411477,0.000177982,0.000001120158,0.0001935405],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08460471,"threshold_uncertainty_score":0.1682245,"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."}}