{"id":"W3115556320","doi":"10.1097/aln.0000000000003650","title":"Intraoperative Oxygen Concentration and Neurocognition after Cardiac Surgery","year":2020,"lang":"en","type":"article","venue":"Anesthesiology","topic":"Cardiac and Coronary Surgery Techniques","field":"Medicine","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of General Medical Sciences; National Institute on Aging","keywords":"Medicine; Cardiopulmonary bypass; Interquartile range; Hyperoxia; Anesthesia; Postoperative cognitive dysfunction; Perioperative; Fraction of inspired oxygen; Cardiac surgery; Intensive care unit; Neurocognitive; Ejection fraction; Surgery; Cardiology; Mechanical ventilation; Internal medicine; Lung; Cognition; Heart failure","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000924533,0.00009639635,0.0003259394,0.00001598219,0.00002718695,0.000006913922,0.00001281048,0.00008525425,0.00008311398],"category_scores_gemma":[0.00006136685,0.0000834867,0.00009188154,0.00006564977,0.00008136278,0.00006677553,0.00001268851,0.0000907601,0.00002499994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007626315,"about_ca_system_score_gemma":0.00004269396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001017173,"about_ca_topic_score_gemma":2.688214e-7,"domain_scores_codex":[0.9993144,0.0001457196,0.0001420499,0.0002114168,0.00005636799,0.0001300564],"domain_scores_gemma":[0.9995982,0.000148386,0.00002832624,0.0000726723,0.00004885378,0.0001035571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001002166,0.00002998802,0.9075203,0.00004804377,0.00005464308,0.0006186348,0.000612993,1.00564e-7,0.01092401,0.00009540885,0.008013336,0.0710804],"study_design_scores_gemma":[0.00008445307,0.0002941296,0.9709746,0.00001461512,0.00005574858,0.00013794,0.00007626936,0.0000151004,0.005961366,0.00005772663,0.02222639,0.0001016213],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958471,0.0008692477,0.0000247277,0.002491964,0.00004849075,0.0002332515,0.000006513781,0.0001009222,0.0003777914],"genre_scores_gemma":[0.9885136,0.0006946853,0.00005960502,0.01036649,0.0002010394,0.00006323754,0.00007642448,0.00001118941,0.00001369541],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07097878,"threshold_uncertainty_score":0.3404489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01775252749924651,"score_gpt":0.2371581768619956,"score_spread":0.219405649362749,"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."}}