{"id":"W1996642185","doi":"10.1097/pcc.0000000000000357","title":"Systemic Inflammation Increases Energy Expenditure Following Pediatric Cardiopulmonary Bypass","year":2015,"lang":"en","type":"article","venue":"Pediatric Critical Care Medicine","topic":"Clinical Nutrition and Gastroenterology","field":"Nursing","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children","funders":"","keywords":"Medicine; Resting energy expenditure; Interquartile range; Cardiopulmonary bypass; Cardiac surgery; Cardiology; Prospective cohort study; Internal medicine; Cardiac output; Anesthesia; Energy expenditure; Hemodynamics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003069183,0.0002999556,0.0003865379,0.0002386543,0.0001923946,0.0004072234,0.0002065152,0.0002949439,0.0008558934],"category_scores_gemma":[0.001204064,0.0001882318,0.000287235,0.0004527941,0.0002567363,0.0002487451,0.0002636389,0.0005489832,0.0001101714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003149696,"about_ca_system_score_gemma":0.000379052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003116387,"about_ca_topic_score_gemma":0.004324801,"domain_scores_codex":[0.9996713,0.00007782062,0.00002164536,0.00008000626,0.00007075222,0.000078309],"domain_scores_gemma":[0.9989694,0.0001166573,0.0006934009,0.00003345672,0.00007239528,0.0001146635],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001234288,0.00002316516,0.9986021,0.000007428134,0.0000216969,0.00014229,0.00002802469,0.00003161044,0.0003732142,0.000004719156,0.00002420838,0.0006182483],"study_design_scores_gemma":[0.000002160843,0.000101698,0.9994503,0.000003345196,0.000007344823,0.0002666148,0.00003116091,0.00004483449,0.00006476739,0.000002246366,0.00002478301,7.374833e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996432,0.0001639496,0.00003684548,0.00001230926,0.000001681465,0.000002555401,0.0000713959,0.000001474755,0.00006665634],"genre_scores_gemma":[0.9994686,0.000140256,0.00006415621,0.00001017052,0.000006869766,0.000006748474,0.0002358455,0.000001170899,0.00006613117],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003116387,"threshold_uncertainty_score":0.006196499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02564625077232561,"score_gpt":0.3208356330014986,"score_spread":0.295189382229173,"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."}}