{"id":"W4411964411","doi":"10.1016/j.ekir.2025.06.043","title":"A Within-Trial Economic Evaluation of a Patient Navigator Program in Children With CKD","year":2025,"lang":"en","type":"article","venue":"Kidney International Reports","topic":"Dialysis and Renal Disease Management","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal","funders":"Faculty of Medicine and Health, University of Sydney; National Health and Medical Research Council; Medical Research Council; University of Queensland; University of Sydney","keywords":"Medicine; Kidney disease; Disease; Intensive care medicine; Pediatrics; Physical therapy; Internal medicine","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":[0.01752958,0.001510735,0.003220067,0.000761783,0.0004744199,0.002053417,0.001077074,0.002264586,0.005754048],"category_scores_gemma":[0.03032221,0.0005520544,0.006574448,0.0009430071,0.001451324,0.001687698,0.00137758,0.00292038,0.0002432641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003630694,"about_ca_system_score_gemma":0.003566314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003411683,"about_ca_topic_score_gemma":0.003387186,"domain_scores_codex":[0.9775929,0.01931771,0.0008147356,0.0007159926,0.0007413386,0.0008174109],"domain_scores_gemma":[0.9861881,0.008846111,0.002798215,0.0004932144,0.0005665974,0.001107616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"observational","study_design_scores_codex":[0.881988,0.007493618,0.007983793,0.01214717,0.01855825,0.0002657687,0.0002092859,0.01609997,0.0006344434,0.002378355,0.002478239,0.04976315],"study_design_scores_gemma":[0.7455964,0.1892124,0.01717386,0.003744338,0.01843619,0.0003480283,0.0002742117,0.01528835,0.0009436368,0.00331251,0.005499869,0.0001701679],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9402187,0.02587449,0.003951942,0.003481589,0.0008721612,0.01526422,0.003587476,0.0001576508,0.006591761],"genre_scores_gemma":[0.980764,0.003124584,0.003939343,0.0004849925,0.0001844088,0.01016064,0.0007195119,0.00001199042,0.0006105521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01752958,"threshold_uncertainty_score":0.09270638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008780030689664053,"score_gpt":0.3105664018556693,"score_spread":0.3017863711660053,"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."}}