{"id":"W3081640122","doi":"10.1016/j.chest.2020.04.038","title":"Machine Learning Predictions of COPD Mortality","year":2020,"lang":"en","type":"letter","venue":"CHEST Journal","topic":"Chronic Obstructive Pulmonary Disease (COPD) Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Robarts Clinical Trials; Western University","funders":"","keywords":"Medicine; BODE index; COPD; Obstructive lung disease; Psychological intervention; Body mass index; Gold standard (test); Physical therapy; Pulmonary disease; Scopus; Internal medicine; Intensive care medicine; MEDLINE; Pulmonary rehabilitation","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":[0.006146318,0.0005362459,0.001074788,0.001199039,0.001297696,0.002286267,0.001126294,0.01128439,0.006943142],"category_scores_gemma":[0.05674893,0.00044358,0.0007251066,0.0006544509,0.001105165,0.002026358,0.0007141676,0.01632685,0.006976714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001875778,"about_ca_system_score_gemma":0.001819739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007888901,"about_ca_topic_score_gemma":0.01845479,"domain_scores_codex":[0.9974113,0.001558896,0.0002337834,0.0001649363,0.0004289642,0.0002021123],"domain_scores_gemma":[0.9539149,0.03918951,0.0007729558,0.0007570876,0.003672414,0.001693115],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003539297,0.000210114,0.01359604,0.00005927572,0.00006164993,0.0006220499,0.00008914724,0.001468321,0.0001920422,0.004349932,0.9190537,0.05994372],"study_design_scores_gemma":[0.001250728,0.000523194,0.03217255,0.001557751,0.0002362339,0.001899786,0.001019384,0.1121824,0.001531025,0.1482778,0.6990546,0.000294517],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.002125517,0.0007983602,0.0004069787,0.9802419,0.01166309,0.000008913016,0.00031858,0.00004435728,0.004392318],"genre_scores_gemma":[0.1029616,0.003706401,0.002912606,0.7297453,0.1344222,0.0001378926,0.001052173,0.0001059381,0.02495588],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01128439,"threshold_uncertainty_score":0.03250521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04274305272879172,"score_gpt":0.3155742902499936,"score_spread":0.2728312375212019,"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."}}