{"id":"W4412510196","doi":"10.1186/s12882-025-04345-3","title":"Exploration of chronic kidney disease screening, diagnosis and management in Australian general practice using electronic medical record data","year":2025,"lang":"en","type":"article","venue":"BMC Nephrology","topic":"Chronic Kidney Disease and Diabetes","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Royal Australian College of General Practitioners","keywords":"Medicine; Nephrology; Kidney disease; Electronic medical record; Medical record; Internal medicine; General practice; Family medicine; Electronic health record; Intensive care medicine; Health care","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00832771,0.0002263966,0.0004832524,0.004219567,0.0005406726,0.001798254,0.0008508997,0.000519786,0.001224237],"category_scores_gemma":[0.06098329,0.0003762936,0.0006945447,0.009667966,0.0003676432,0.001155273,0.002085638,0.0006747694,0.0002717411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002939538,"about_ca_system_score_gemma":0.004662619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.171676,"about_ca_topic_score_gemma":0.1721188,"domain_scores_codex":[0.9889392,0.005444274,0.00170443,0.001036827,0.002322193,0.0005529722],"domain_scores_gemma":[0.9614675,0.01690761,0.01201845,0.002621371,0.005961063,0.001023987],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003712228,0.00006808435,0.9800335,0.0004956453,0.0001798982,0.0001247654,0.002388246,0.0004199172,0.00009829067,0.0003685276,0.001889264,0.01389689],"study_design_scores_gemma":[0.00001220951,0.0000672549,0.9890066,0.0003070054,0.00007294188,0.0001656825,0.002146113,0.003246672,0.00006602997,0.0002744069,0.004619033,0.00001609247],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9729918,0.001706933,0.002046505,0.002726428,0.0000240282,0.0003601668,0.01685957,0.00004546433,0.003239157],"genre_scores_gemma":[0.9812648,0.001029236,0.007346505,0.0006958974,0.00003746054,0.0003274362,0.008868124,0.00001028399,0.0004202361],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.171676,"threshold_uncertainty_score":0.3413534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0636714441841626,"score_gpt":0.3689967290026571,"score_spread":0.3053252848184945,"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."}}