{"id":"W3047645812","doi":"10.1097/cce.0000000000000175","title":"Machine Learning Predicts Prolonged Acute Hypoxemic Respiratory Failure in Pediatric Severe Influenza","year":2020,"lang":"en","type":"article","venue":"Critical Care Explorations","topic":"Respiratory Support and Mechanisms","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier Universitaire Sainte-Justine","funders":"National Institute of Allergy and Infectious Diseases","keywords":"Medicine; Respiratory failure; Hypoxemia; Acute respiratory failure; Intensive care medicine; Logistic regression; Receiver operating characteristic; Emergency medicine; Internal medicine; Mechanical ventilation","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":[],"consensus_categories":[],"category_scores_codex":[0.0001274555,0.0002280492,0.0003490229,0.0001871677,0.0001685772,0.0000480782,0.0001252556,0.0002164784,0.0002135797],"category_scores_gemma":[0.00154518,0.0002212578,0.0001076396,0.0006245825,0.00006977992,0.0004043556,0.00008038736,0.0008556063,0.0001994082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007617912,"about_ca_system_score_gemma":0.0004081726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001950011,"about_ca_topic_score_gemma":0.00002836479,"domain_scores_codex":[0.9981797,0.0001287934,0.0004581884,0.000455444,0.0003842483,0.000393605],"domain_scores_gemma":[0.9987706,0.0001043428,0.00004544639,0.0002434584,0.0003146036,0.0005215387],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001510053,0.0006375238,0.8823448,0.003008342,0.0001683946,0.004342871,0.0386209,0.0004241197,0.03799619,0.01085742,0.01318733,0.006902012],"study_design_scores_gemma":[0.02725648,0.01833032,0.06600269,0.0006109341,0.004261006,0.0003616419,0.05373592,0.005769184,0.01997837,0.00240765,0.7971615,0.004124344],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9725706,0.004712576,0.002289998,0.01370159,0.0003858773,0.001707784,0.0001435908,0.0008022105,0.003685784],"genre_scores_gemma":[0.9912395,0.00003263647,0.0009272154,0.006731329,0.0006327959,0.0001943742,0.0001539535,0.00005068188,0.00003746506],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8163422,"threshold_uncertainty_score":0.9022631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06217118616060153,"score_gpt":0.3196361831170173,"score_spread":0.2574649969564158,"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."}}