{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002429018,0.0004220484,0.0003742442,0.0007871906,0.0002184157,0.0004986768,0.0003520919,0.000446879,0.0009758682],"category_scores_gemma":[0.006632983,0.0001700862,0.0005065384,0.0004117386,0.00018152,0.0003639271,0.0003626888,0.0006897542,0.0002521201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003278767,"about_ca_system_score_gemma":0.0004048539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001638511,"about_ca_topic_score_gemma":0.001904094,"domain_scores_codex":[0.9994317,0.0002685874,0.00005542731,0.00008910856,0.00007600207,0.00007925237],"domain_scores_gemma":[0.9963189,0.00212539,0.000839602,0.0001251161,0.0003501067,0.0002408356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001146727,0.00007014859,0.9905709,0.00001009243,0.00003658431,0.00004934926,0.00002247523,0.003138435,0.0001093667,0.00002032402,0.0003258412,0.00553192],"study_design_scores_gemma":[0.00003018687,0.0004047623,0.8581368,0.0000460498,0.00006928067,0.0004820697,0.0001710852,0.1394229,0.0005804502,0.0002462133,0.0003975976,0.00001262287],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978893,0.0001588789,0.001290255,0.000123839,0.00001029871,0.00001379546,0.0002299333,0.00001683533,0.0002668003],"genre_scores_gemma":[0.9984775,0.00006141188,0.000901942,0.00002030932,0.00001073211,0.00001339823,0.0004567582,0.000002689012,0.00005518024],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002429018,"threshold_uncertainty_score":0.01284605,"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."}}