{"id":"W2966763401","doi":"10.1002/bjs5.50199","title":"Prognostic model to predict postoperative acute kidney injury in patients undergoing major gastrointestinal surgery based on a national prospective observational cohort study","year":2019,"lang":"en","type":"erratum","venue":"BJS Open","topic":"Cardiac, Anesthesia and Surgical Outcomes","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Smiths Detection (Canada)","funders":"Royal College of Surgeons of Edinburgh; Royal College of Surgeons of England","keywords":"Medicine; Observational study; Acute kidney injury; Prospective cohort study; Cohort study; Cohort; Surgery; Intensive care medicine; Internal medicine; Emergency medicine","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":[0.006401682,0.0007447535,0.001131813,0.0008716763,0.0004620771,0.001337279,0.0009486159,0.0009430243,0.004873986],"category_scores_gemma":[0.02571139,0.0003352561,0.002105481,0.001305633,0.0001599322,0.0006683542,0.0006556985,0.002068165,0.0008641231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005942165,"about_ca_system_score_gemma":0.001332453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009909861,"about_ca_topic_score_gemma":0.014098,"domain_scores_codex":[0.9984492,0.0005594281,0.0003444552,0.0002817632,0.0002506754,0.0001144594],"domain_scores_gemma":[0.991347,0.004941595,0.000963949,0.0006289794,0.001791493,0.0003269777],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001759303,0.0001103346,0.9328912,0.0002197681,0.001654336,0.0002447688,0.00008174846,0.001100544,0.00008751832,0.0005743339,0.04409831,0.01717783],"study_design_scores_gemma":[0.002219759,0.0008577648,0.9070199,0.000693892,0.008079932,0.002413343,0.0005494945,0.05349328,0.0004046268,0.003115428,0.02092946,0.0002231486],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.857937,0.009387022,0.01549849,0.01841864,0.01452981,0.0002651179,0.07575427,0.0005451315,0.007664581],"genre_scores_gemma":[0.9409873,0.001989551,0.01332613,0.001976632,0.001876125,0.0003264647,0.03506792,0.000124737,0.004325085],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.009909861,"threshold_uncertainty_score":0.03385574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03241559717062775,"score_gpt":0.3105848570023987,"score_spread":0.278169259831771,"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."}}