{"id":"W3111013623","doi":"10.4187/respcare.08223","title":"Identifying Subjects at Risk for Diaphragm Atrophy During Mechanical Ventilation Using Routinely Available Clinical Data","year":2020,"lang":"en","type":"article","venue":"Respiratory Care","topic":"Respiratory Support and Mechanisms","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Health Science Centre; St. Michael's Hospital; University Health Network; University of Toronto","funders":"","keywords":"Medicine; Spontaneous breathing trial; Contractility; Mechanical ventilation; Diaphragmatic breathing; Diaphragm (acoustics); Atrophy; Internal medicine; Odds ratio; Cardiology; Receiver operating characteristic; Logistic regression; Ventilation (architecture); Pathology","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":[0.002536957,0.0004136829,0.0004728939,0.0008196523,0.0002412436,0.0006095335,0.0004567607,0.0005647679,0.0006464537],"category_scores_gemma":[0.006557872,0.0002452523,0.0005691175,0.0006420314,0.0002480893,0.0005098627,0.000573615,0.000589308,0.0001693114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001758896,"about_ca_system_score_gemma":0.0003640366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001763625,"about_ca_topic_score_gemma":0.00231187,"domain_scores_codex":[0.9988998,0.0005272515,0.0001087373,0.0002143533,0.0001325226,0.0001173515],"domain_scores_gemma":[0.9948979,0.002339074,0.001741262,0.0003874954,0.000309491,0.000324683],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001256173,0.00001291425,0.9988729,0.000005133708,0.00003010364,0.00001529427,0.0000141084,0.00003814471,0.000119233,0.00000368575,0.00001459266,0.0007482842],"study_design_scores_gemma":[0.000007447521,0.0001621862,0.9984347,0.000007986192,0.00003959563,0.00009101607,0.00003792674,0.001063848,0.00009210729,0.00001792151,0.00004250832,0.000002716745],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991724,0.0002417595,0.0003198016,0.00002403238,0.000003367399,0.000008193372,0.0001273844,0.000004080031,0.00009896509],"genre_scores_gemma":[0.9994144,0.00005609789,0.0002633824,0.000009070048,0.000007190911,0.000006636137,0.0002135284,0.000001263413,0.00002842098],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002536957,"threshold_uncertainty_score":0.01341683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2481449018353974,"score_gpt":0.3907044117761633,"score_spread":0.1425595099407659,"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."}}