{"id":"W3092569311","doi":"10.1177/2054358120959908","title":"Agreement Between Administrative Database and Medical Chart Review for the Prediction of Chronic Kidney Disease G category","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Kidney Health and Disease","topic":"Chronic Kidney Disease and Diabetes","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Toronto; Université de Montréal","funders":"","keywords":"Medicine; Kidney disease; Renal function; Medical record; Dialysis; Cohort; Retrospective cohort study; Database; Emergency medicine; Intensive care medicine; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.03037408,0.0004571301,0.0008688528,0.006073367,0.0006264965,0.001840806,0.001672161,0.0007761469,0.001555354],"category_scores_gemma":[0.08413614,0.0004007129,0.001155265,0.004254995,0.0004651995,0.001094891,0.001951989,0.0006689461,0.0005111173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001904945,"about_ca_system_score_gemma":0.002514716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04393997,"about_ca_topic_score_gemma":0.04406421,"domain_scores_codex":[0.9615566,0.02046767,0.005607516,0.004545382,0.006297375,0.001525465],"domain_scores_gemma":[0.8701483,0.05670119,0.03963223,0.008414532,0.02284594,0.002257832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004447513,0.00005213817,0.9922814,0.00007760982,0.0002152827,0.00002830632,0.0002512147,0.0004272659,0.00008628771,0.00007860047,0.001453028,0.004604037],"study_design_scores_gemma":[0.00006763154,0.0001043838,0.9934664,0.0001032655,0.0001125547,0.00009846742,0.0004011954,0.004158556,0.0002329514,0.0000904834,0.001143323,0.000020732],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.951719,0.00136479,0.0065738,0.0005144906,0.0001858739,0.001345706,0.02906171,0.0002824684,0.008952332],"genre_scores_gemma":[0.9876453,0.0001599591,0.003442532,0.0001229708,0.00003657132,0.000293526,0.008032042,0.00001720721,0.0002497917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04393997,"threshold_uncertainty_score":0.1606354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05501501109912461,"score_gpt":0.3278289454347542,"score_spread":0.2728139343356296,"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."}}