{"id":"W3135926179","doi":"10.1111/jocs.15503","title":"Predicting acute kidney injury following nonemergent cardiac surgery: A preoperative scorecard","year":2021,"lang":"en","type":"article","venue":"Journal of Cardiac Surgery","topic":"Acute Kidney Injury Research","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nova Scotia Health Authority; Dalhousie University","funders":"","keywords":"Medicine; Acute kidney injury; Dialysis; Renal function; Cardiac surgery; Kidney disease; Renal replacement therapy; Surgery; Coronary artery bypass surgery; Retrospective cohort study; Internal medicine; Cardiology; Artery","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":[0.0006037148,0.000387376,0.0003534442,0.0009838837,0.0002431359,0.0006663711,0.0003165455,0.0004000657,0.001362371],"category_scores_gemma":[0.002519533,0.0001502222,0.0004275249,0.0009329448,0.0002560692,0.0005714812,0.0006227592,0.0004200526,0.0002555382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000240734,"about_ca_system_score_gemma":0.0004806359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001087056,"about_ca_topic_score_gemma":0.002353559,"domain_scores_codex":[0.9995753,0.00008971984,0.00009308006,0.00005834363,0.0001198723,0.00006367765],"domain_scores_gemma":[0.9977083,0.0002418566,0.001307572,0.00007320295,0.0002753909,0.0003936354],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000261618,0.00001518561,0.9992272,0.000004967419,0.00001675695,0.00001904326,0.000005571752,0.000034628,0.00004401056,0.000003756875,0.0000385655,0.0005641354],"study_design_scores_gemma":[0.000005500659,0.0001050054,0.9988036,0.000007401762,0.00002230107,0.0003187903,0.00005342545,0.0005233665,0.00005631965,0.00001398523,0.00008700435,0.000003168731],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991709,0.0001661497,0.0001053007,0.00004653751,0.000007243271,0.00000870544,0.0002169486,0.000003012484,0.0002752625],"genre_scores_gemma":[0.9993076,0.00009064103,0.0001683751,0.00001550313,0.00001540673,0.000004910945,0.0003445576,7.687148e-7,0.00005217073],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001362371,"threshold_uncertainty_score":0.00455761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02851323297284242,"score_gpt":0.3212732048734606,"score_spread":0.2927599719006181,"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."}}