{"id":"W4225275489","doi":"10.1016/j.xkme.2022.100471","title":"Impact of Removing Race Variable on CKD Classification Using the Creatinine-Based 2021 CKD-EPI Equation","year":2022,"lang":"en","type":"article","venue":"Kidney Medicine","topic":"Chronic Kidney Disease and Diabetes","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver General Hospital; University of British Columbia; Vancouver Coastal Health","funders":"Baxter Healthcare Corporation; National Institutes of Health","keywords":"Kidney disease; Renal function; Creatinine; Medicine; Race (biology); Internal medicine; Nephrology; Sociology; Gender studies","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":[],"consensus_categories":[],"category_scores_codex":[0.03727028,0.001227443,0.002347121,0.001297432,0.001129919,0.002693346,0.002374739,0.001085839,0.009851665],"category_scores_gemma":[0.1519559,0.0004556074,0.007077775,0.002871116,0.0004838993,0.002239908,0.002417758,0.002696842,0.002739402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001883184,"about_ca_system_score_gemma":0.007473355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1169833,"about_ca_topic_score_gemma":0.0750103,"domain_scores_codex":[0.9622247,0.02754096,0.002283858,0.00293256,0.004211348,0.000806584],"domain_scores_gemma":[0.9544293,0.03388567,0.003062997,0.002993228,0.004752446,0.0008763786],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.007684239,0.0006165754,0.485498,0.003786865,0.007754899,0.0005469781,0.00095802,0.008417606,0.0004878355,0.005335626,0.1058342,0.3730791],"study_design_scores_gemma":[0.002335204,0.001446678,0.6433669,0.01059942,0.02223834,0.001160141,0.002012972,0.07798895,0.003008962,0.00799546,0.2274312,0.000415802],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5411088,0.08520674,0.08019845,0.1259803,0.0136067,0.002252582,0.09633075,0.002434741,0.05288091],"genre_scores_gemma":[0.8668406,0.01105872,0.05085561,0.01559687,0.001701897,0.001181266,0.04499112,0.0009100083,0.006863839],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1169833,"threshold_uncertainty_score":0.2326047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06333904717986634,"score_gpt":0.3484028177327061,"score_spread":0.2850637705528398,"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."}}