{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008250244,0.0001220032,0.0002626082,0.001310493,0.0003906209,0.00003036067,0.0004973848,0.00006075275,0.0005820665],"category_scores_gemma":[0.002096299,0.00009354555,0.00005214242,0.00318105,0.0001113146,0.0001697391,0.0006132699,0.001484246,0.00002723094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000553323,"about_ca_system_score_gemma":0.0008556835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008862967,"about_ca_topic_score_gemma":0.00007391864,"domain_scores_codex":[0.9926765,0.002092349,0.0007079945,0.0004428069,0.003416463,0.0006638729],"domain_scores_gemma":[0.9973105,0.001155617,0.0001224178,0.0006634718,0.0005671139,0.00018089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002084965,0.001440155,0.9808652,0.0005359867,0.00002010365,0.000113186,0.002136169,0.0001028922,0.0004775759,0.0000085986,0.0008418208,0.01137332],"study_design_scores_gemma":[0.003532641,0.002131715,0.9629836,0.00001554189,0.00002086385,0.000006539611,0.001746441,0.0271778,0.00009062557,0.00001343247,0.002216332,0.00006449001],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928789,0.00141596,0.000003863159,0.0004666609,0.0001383153,0.004130347,0.0000509105,0.00008744285,0.0008275592],"genre_scores_gemma":[0.9977982,0.000333534,0.00001743341,0.00004146233,0.000214675,0.001087308,0.00002574988,0.00003003229,0.0004516244],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02707491,"threshold_uncertainty_score":0.6448391,"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."}}