{"id":"W4224910429","doi":"10.1016/j.ekir.2022.04.001","title":"A Cost-Saving Hemodialysis Scheme in Limited-Resource Settings","year":2022,"lang":"en","type":"article","venue":"Kidney International Reports","topic":"Dialysis and Renal Disease Management","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Dialysis; Hemodialysis; Reimbursement; Intensive care medicine; Per capita; Kidney disease; End stage renal disease; Emergency medicine; Surgery; Internal medicine; Health care; Environmental health; Economic growth; Population","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":[0.001331025,0.0001866909,0.0002155952,0.0004768135,0.001044019,0.001504585,0.001213738,0.0008916071,0.01847885],"category_scores_gemma":[0.003987101,0.00009356728,0.0006229348,0.0006374454,0.0004228788,0.001381984,0.002271511,0.0008821347,0.001166187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001614265,"about_ca_system_score_gemma":0.003694982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002797378,"about_ca_topic_score_gemma":0.003716811,"domain_scores_codex":[0.9987829,0.0006203937,0.00007400603,0.00007736351,0.0001859037,0.0002593827],"domain_scores_gemma":[0.9983491,0.0002900794,0.0001801783,0.0001254244,0.0002068826,0.0008483594],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001114155,0.00264604,0.02597525,0.001459366,0.0002091115,0.003791087,0.0008496091,0.002991652,0.001597121,0.03257351,0.1753738,0.7514193],"study_design_scores_gemma":[0.001713895,0.004152721,0.1367869,0.003844256,0.0005104642,0.01376483,0.005744136,0.01652766,0.002552304,0.04648303,0.7676717,0.0002481792],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5509043,0.02977132,0.05878996,0.1797751,0.009689776,0.002372082,0.003267048,0.001380008,0.1640505],"genre_scores_gemma":[0.9414526,0.00938898,0.02477716,0.008789427,0.002476557,0.0005676331,0.001117847,0.0000779453,0.01135184],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01847885,"threshold_uncertainty_score":0.06181788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01695050395633056,"score_gpt":0.2784632772844179,"score_spread":0.2615127733280873,"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."}}