{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.01802136,0.002827143,0.008968667,0.009802483,0.0005052574,0.002941253,0.003555025,0.002022042,0.004427859],"category_scores_gemma":[0.1025733,0.001478818,0.01512346,0.00853952,0.0009073638,0.003088956,0.001430249,0.001887969,0.0003986695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003951733,"about_ca_system_score_gemma":0.01007761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01068808,"about_ca_topic_score_gemma":0.01720158,"domain_scores_codex":[0.9877224,0.005572738,0.003464988,0.0009323845,0.002088679,0.000218699],"domain_scores_gemma":[0.8824329,0.1006664,0.01141431,0.001025039,0.004143858,0.0003174632],"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":[0.0002241999,0.00003037053,0.001847853,0.9346133,0.0183619,0.00008116065,0.0001219522,0.0007228481,0.00003426544,0.0003715596,0.001548788,0.04204176],"study_design_scores_gemma":[0.0003291723,0.0002227644,0.004025084,0.8769751,0.1066414,0.0003282694,0.0001667212,0.001166831,0.000121789,0.0008485371,0.009100188,0.00007427728],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001004711,0.9968885,0.0006713942,0.0003028024,0.0001034055,0.0003918137,0.0004382986,0.00002779433,0.0001712908],"genre_scores_gemma":[0.02530978,0.9704975,0.002190645,0.0005040483,0.0001398151,0.0008081808,0.0004491932,0.00001491051,0.0000858186],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9910313,"threshold_uncertainty_score":0.09530717,"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."}}