{"id":"W4412195936","doi":"10.1093/jalm/jfaf087","title":"Diagnostic Accuracy of Smartphone-Enabled Urinary Albumin-to-Creatinine Ratio Testing","year":2025,"lang":"en","type":"article","venue":"The Journal of Applied Laboratory Medicine","topic":"Chronic Kidney Disease and Diabetes","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Canadian Institutes of Health Research; National Institutes of Health; Janssen Biotech; Otsuka Pharmaceutical; Kidney Foundation of Canada; Janssen Pharmaceuticals; AstraZeneca; Bayer; Research Manitoba; Eli Lilly and Company; Boehringer Ingelheim","keywords":"Albuminuria; Medicine; Creatinine; Kidney disease; Urine; Gold standard (test); Urology; Renal function; Urinary system; Biomarker; Internal medicine; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.002157549,0.0002284995,0.000810358,0.0003975566,0.0001035122,0.000006258895,0.0002801178,0.00007633385,0.0002308283],"category_scores_gemma":[0.01141375,0.0001358015,0.00006506831,0.001575043,0.0002690525,0.00006944142,0.00008214351,0.0004119493,0.0000130342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001094529,"about_ca_system_score_gemma":0.001555901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000144937,"about_ca_topic_score_gemma":0.000001495409,"domain_scores_codex":[0.9977839,0.00007352651,0.001131966,0.0001478418,0.0005628323,0.0002999365],"domain_scores_gemma":[0.9918575,0.005649258,0.0006944115,0.0004730253,0.0009351654,0.0003906932],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.008361523,0.001449812,0.02952544,0.002083073,0.001341145,0.0004255989,0.003955087,0.0003703542,0.7453303,0.00232176,0.1911459,0.01369004],"study_design_scores_gemma":[0.04340713,0.009895826,0.394878,0.01745808,0.01040551,0.0003017276,0.01459661,0.0003595721,0.4529047,0.002679465,0.05220937,0.0009039426],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9759703,0.003993844,0.0003971864,0.004504388,0.0003490049,0.0006448561,0.0000130868,0.00002927646,0.01409808],"genre_scores_gemma":[0.9933407,0.0001615772,0.0006033111,0.004944661,0.0007540468,0.000009811909,0.000008852456,0.00002381562,0.0001532273],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3653526,"threshold_uncertainty_score":0.9969136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01276393190921996,"score_gpt":0.285965478808202,"score_spread":0.273201546898982,"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."}}