{"id":"W4404197700","doi":"10.1016/j.ekir.2024.10.028","title":"Cost-Effectiveness of Clinical Decision Support to Improve CKD Outcomes Among First Nations Australians","year":2024,"lang":"en","type":"article","venue":"Kidney International Reports","topic":"Chronic Kidney Disease and Diabetes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Health and Medical Research Council; Northern Territory Government; David and Elaine Potter Foundation; Ian Potter Foundation; Australian Government; Menzies School of Health Research","keywords":"Medicine; Clinical decision making; Cost effectiveness; Clinical decision support system; Family medicine; Intensive care medicine; Decision support system; Risk analysis (engineering); Data mining","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":[0.004034048,0.0005980754,0.0007457145,0.0007035114,0.0003214522,0.001332257,0.0008118745,0.0008349013,0.004979958],"category_scores_gemma":[0.01820084,0.000280336,0.001197298,0.0006058687,0.000537271,0.001167652,0.0009599188,0.0008623439,0.0002002234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003580939,"about_ca_system_score_gemma":0.00451822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04388955,"about_ca_topic_score_gemma":0.01818146,"domain_scores_codex":[0.9979007,0.001433096,0.00008252618,0.0001446657,0.0002075927,0.0002313189],"domain_scores_gemma":[0.9938473,0.004403223,0.0006369408,0.0001339951,0.0004560492,0.0005225405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.001613279,0.0008054166,0.07461638,0.0009439525,0.001458908,0.0003251319,0.0002648104,0.8325894,0.0004498021,0.01037827,0.006953049,0.06960154],"study_design_scores_gemma":[0.0008820507,0.00176021,0.04542501,0.0008522212,0.0009428625,0.0003353509,0.0003287407,0.923505,0.0004139995,0.018675,0.006815692,0.00006379641],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9326875,0.006004397,0.021543,0.01356858,0.0002192715,0.0006079563,0.002920884,0.0001769489,0.02227151],"genre_scores_gemma":[0.9950719,0.0007957132,0.0024738,0.0003705877,0.00003331872,0.00008912784,0.0004119522,0.000005563837,0.0007480578],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04388955,"threshold_uncertainty_score":0.08726817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.045267048308843,"score_gpt":0.4216824866701678,"score_spread":0.3764154383613249,"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."}}