{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007193434,0.0003104451,0.0006635159,0.0001072358,0.0004321792,0.00006663514,0.0003815256,0.0003161364,0.0003196129],"category_scores_gemma":[0.0008147978,0.0003094207,0.0003635581,0.0002843478,0.00005210138,0.00034913,0.0005570854,0.0004279583,0.0002206835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000223386,"about_ca_system_score_gemma":0.0003885114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009005737,"about_ca_topic_score_gemma":0.0000159068,"domain_scores_codex":[0.9967251,0.0001780494,0.000943262,0.001107672,0.0005182422,0.0005277184],"domain_scores_gemma":[0.9975289,0.0001005527,0.0004246459,0.001108684,0.0002588058,0.0005784135],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.004070075,0.0001316028,0.2192358,0.001941623,0.0003600358,0.0004865973,0.000704828,0.00005070564,0.7622446,0.00007912971,0.004773593,0.005921465],"study_design_scores_gemma":[0.01648005,0.002462412,0.03862483,0.0006117419,0.002589324,0.00006263465,0.001932541,0.004658535,0.5572628,0.00006088154,0.3737163,0.001537895],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905995,0.001791428,0.005152055,0.00004545653,0.0007092627,0.001103025,0.0002548891,0.0001984033,0.0001460252],"genre_scores_gemma":[0.9910263,0.00005003613,0.004874227,0.001404347,0.002036146,0.00002946371,0.0003257839,0.0001234122,0.0001302992],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3689427,"threshold_uncertainty_score":0.9999358,"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."}}