{"id":"W2781668041","doi":"10.1016/j.jtcvs.2017.12.089","title":"Body mass index in lung transplantation: Every unit counts","year":2018,"lang":"en","type":"letter","venue":"Journal of Thoracic and Cardiovascular Surgery","topic":"Transplantation: Methods and Outcomes","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Alberta Biodiversity Monitoring Institute; Canadian Natural Resources; Canadian VIGOUR Centre; University of Alberta","funders":"","keywords":"Medicine; Lung transplantation; Body mass index; Transplantation; Lung; Scopus; Retrospective cohort study; Internal medicine; Surgery; MEDLINE","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002461073,0.0004448173,0.001287145,0.001173432,0.001128687,0.001608493,0.0006850287,0.005624075,0.002653701],"category_scores_gemma":[0.02439935,0.0003554308,0.0005676056,0.001599884,0.0006940624,0.002127609,0.0007910576,0.01144908,0.001418706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001480115,"about_ca_system_score_gemma":0.00169472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003399968,"about_ca_topic_score_gemma":0.00616988,"domain_scores_codex":[0.9978249,0.0008065452,0.0004911898,0.0001514101,0.0005701871,0.0001558292],"domain_scores_gemma":[0.9901259,0.005482709,0.0008384313,0.000334649,0.001889699,0.001328687],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003241012,0.0003342642,0.09953053,0.0002064553,0.0001052691,0.004036685,0.0002310257,0.0002651342,0.0001896372,0.003723397,0.7879363,0.1031171],"study_design_scores_gemma":[0.001362111,0.001063046,0.25292,0.005590499,0.000888758,0.04194624,0.003216677,0.01055055,0.001479202,0.07245791,0.608128,0.0003970614],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.006076549,0.007063045,0.0003107572,0.9606113,0.02032982,0.00001486475,0.0002315641,0.0000279654,0.005334246],"genre_scores_gemma":[0.1066369,0.01210507,0.00203349,0.550602,0.3215548,0.0001478569,0.0004227108,0.00005423567,0.006442952],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.005624075,"threshold_uncertainty_score":0.01301557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02855459840572067,"score_gpt":0.3162044612720903,"score_spread":0.2876498628663697,"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."}}