{"id":"W1934177287","doi":"10.1136/bmj.h4395","title":"Risk prediction models for contrast induced nephropathy: systematic review","year":2015,"lang":"en","type":"review","venue":"BMJ","topic":"Acute Kidney Injury Research","field":"Medicine","cited_by":177,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Sinai Hospital; University of Toronto; St. Michael's Hospital","funders":"","keywords":"Medicine; Contrast-induced nephropathy; Nephropathy; CINAHL; MEDLINE; Predictive modelling; Internal medicine; Intensive care medicine; Diabetes mellitus; Machine learning; Computer science","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.005145136,0.000520597,0.005584147,0.000242398,0.00008061052,0.00003419783,0.0003413931,0.0005221328,0.00004453603],"category_scores_gemma":[0.00605504,0.0003446268,0.0008844206,0.00041991,0.00004292515,0.0001291081,0.0000920155,0.0007811593,0.0003263806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005342232,"about_ca_system_score_gemma":0.002353093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001009074,"about_ca_topic_score_gemma":5.714224e-7,"domain_scores_codex":[0.9952212,0.0007882325,0.001995612,0.0005493205,0.0009723778,0.0004732633],"domain_scores_gemma":[0.9956737,0.0004143088,0.001211764,0.001323905,0.0008396108,0.0005367644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00001738383,0.00003619349,1.387719e-7,0.6900357,0.0005005594,0.0000128764,0.00001122774,2.705855e-8,1.053986e-7,0.00002911847,0.2635317,0.04582504],"study_design_scores_gemma":[0.0004925944,0.0002841009,4.674958e-8,0.5234424,0.01376747,0.0003031733,0.000007073954,0.0003607963,1.146508e-7,0.00004423351,0.461129,0.000168989],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[5.137386e-8,0.955217,0.00128207,0.0003306123,0.0003277934,0.0380203,0.002505145,0.0001306207,0.0021864],"genre_scores_gemma":[5.768937e-7,0.9799348,0.0005044044,0.0003883276,0.001013205,0.01442986,0.001582539,0.0001442904,0.002002004],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.1975973,"threshold_uncertainty_score":0.9999006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1838223886409204,"score_gpt":0.4532772722081187,"score_spread":0.2694548835671983,"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."}}