{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.006018492,0.0004928699,0.003221453,0.0008576928,0.0002568793,0.0001455073,0.0001866688,0.000302252,0.0003756511],"category_scores_gemma":[0.00849494,0.0004305519,0.005613065,0.001433546,0.0001170795,0.0007054796,0.0002382119,0.001336385,0.00005178994],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005020979,"about_ca_system_score_gemma":0.007930052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001780668,"about_ca_topic_score_gemma":2.093101e-7,"domain_scores_codex":[0.9928448,0.001301579,0.001852802,0.0005364576,0.002448966,0.001015404],"domain_scores_gemma":[0.9930102,0.001791136,0.0007203262,0.0007525205,0.001904186,0.001821595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005257944,0.0001142332,0.4691984,0.00009950383,0.006028541,0.001849015,0.0002534461,4.045002e-7,0.0200169,0.000002166082,0.4974814,0.004430202],"study_design_scores_gemma":[0.001159209,0.0006749282,0.1499302,0.004529445,0.009084399,0.00252664,0.001681188,0.00006133767,0.4029256,0.00004475104,0.4257912,0.001591106],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9724232,0.004355366,0.000058177,0.005011383,0.01301477,0.0004938961,0.001104236,0.00007681047,0.003462167],"genre_scores_gemma":[0.9824169,0.007824751,0.0008568613,0.001618503,0.004892878,0.00007189786,0.0003772868,0.0001868089,0.001754151],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3829087,"threshold_uncertainty_score":0.9998569,"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."}}