{"id":"W4407953840","doi":"10.1016/j.cjco.2025.02.016","title":"Development and Validation of Models to Predict Major Adverse Cardiovascular Events in Chronic Kidney Disease","year":2025,"lang":"en","type":"article","venue":"CJC Open","topic":"Chronic Kidney Disease and Diabetes","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Ottawa Hospital; University of Ottawa; University of Manitoba; Orthopaedic Innovation Centre","funders":"Canadian Institutes of Health Research; Bayer Canada; Servier; Vetenskapsrådet; Government of Alberta; Kidney Foundation of Canada; Astellas Pharma; Hjärt-Lungfonden; University of Calgary; Alberta Health Services; AstraZeneca; Eli Lilly and Company; Roche; GlaxoSmithKline; Amgen","keywords":"Kidney disease; Medicine; Disease; Intensive care medicine; Adverse effect; Internal medicine; Cardiology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000249239,0.0001010373,0.0003299709,0.000129003,0.00003015473,0.000007345971,0.0001332681,0.00003390363,0.00005460491],"category_scores_gemma":[0.0001213834,0.00009490144,0.00007081185,0.0002072575,0.00001718765,0.0001499584,0.0002725511,0.00004604457,0.00001082475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003130601,"about_ca_system_score_gemma":0.002432656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000120091,"about_ca_topic_score_gemma":0.000008068962,"domain_scores_codex":[0.9991227,0.00003037345,0.0002340318,0.0002617748,0.0001892387,0.0001618809],"domain_scores_gemma":[0.9991839,0.00001268841,0.00002570755,0.00033346,0.00004362938,0.0004006047],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006676261,0.003394879,0.7460502,0.01691375,0.008949594,0.0003759042,0.006442989,0.02016669,0.0088674,0.005433812,0.04592676,0.1308018],"study_design_scores_gemma":[0.03896334,0.0002630748,0.7892842,0.01011606,0.002464075,0.00000300602,0.0005396411,0.008610267,0.04196878,0.003095147,0.1038817,0.0008107026],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930539,0.001585207,0.0002875215,0.0003789995,0.00006165596,0.001514427,0.00003656725,0.00001410259,0.00306765],"genre_scores_gemma":[0.9977987,0.00003884772,0.0005705029,0.0005132299,0.00002223889,0.0001687898,0.0001396304,0.00000959404,0.000738426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1299911,"threshold_uncertainty_score":0.4315427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0191451175631604,"score_gpt":0.2794962482932776,"score_spread":0.2603511307301172,"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."}}