{"id":"W4288712557","doi":"10.1038/s41390-022-02210-9","title":"Automated prediction of extubation success in extremely preterm infants: the APEX multicenter study","year":2022,"lang":"en","type":"article","venue":"Pediatric Research","topic":"Neonatal Respiratory Health Research","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"Jewish General Hospital; McGill University Health Centre; McGill University","funders":"Canadian Institutes of Health Research","keywords":"Cardiorespiratory fitness; Mechanical ventilation; Medicine; Receiver operating characteristic; Cardiorespiratory arrest; Machine learning; Intensive care medicine; Physical therapy; Surgery; Anesthesia; Computer science; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.004262274,0.001249531,0.001154932,0.0005353186,0.0005162632,0.001945214,0.001186627,0.001293317,0.001036841],"category_scores_gemma":[0.009706762,0.0003928235,0.001107072,0.0006809923,0.0005007987,0.001237421,0.00161438,0.001318003,0.0004924235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005245501,"about_ca_system_score_gemma":0.0007956601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002544723,"about_ca_topic_score_gemma":0.002366177,"domain_scores_codex":[0.997761,0.00106415,0.0001561209,0.0005416638,0.0003021442,0.000174931],"domain_scores_gemma":[0.9917234,0.002799314,0.002128317,0.001411291,0.0008499327,0.001087787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008323007,0.0005709772,0.9793676,0.00006200287,0.001165795,0.0001968605,0.0002406062,0.0004880754,0.0009971233,0.0001088347,0.0009115584,0.007567683],"study_design_scores_gemma":[0.0009375646,0.002105525,0.9910239,0.00003852164,0.0007658593,0.0004908679,0.0004912313,0.003034338,0.0003762243,0.000152864,0.0005392323,0.00004392887],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986253,0.0001416674,0.0001283701,0.0000776876,0.00001128949,0.00002365407,0.0008089909,0.000005980943,0.0001770243],"genre_scores_gemma":[0.9964102,0.0001881371,0.0005013653,0.00008703391,0.0000655609,0.00008081943,0.002472243,0.00001626399,0.0001784312],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004262274,"threshold_uncertainty_score":0.02254128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1248586747200211,"score_gpt":0.4499852787935623,"score_spread":0.3251266040735413,"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."}}