{"id":"W6964060768","doi":"10.25384/sage.25854507","title":"sj-docx-1-cjk-10.1177_20543581241252506 – Supplemental material for Mind the Gap in Kidney Care: Translating What We Know Into What We do","year":2024,"lang":"en","type":"article","venue":"Sage Journals Data","topic":"Chronic Kidney Disease and Diabetes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Kidney; Kidney disease; MEDLINE; Disease","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002278059,0.001396196,0.001823828,0.004701528,0.001949866,0.007597545,0.003670158,0.004067732,0.9471227],"category_scores_gemma":[0.03439341,0.001703104,0.00132965,0.006114622,0.0007705531,0.004513558,0.002795529,0.00304115,0.754756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00291576,"about_ca_system_score_gemma":0.003879717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01765777,"about_ca_topic_score_gemma":0.02648758,"domain_scores_codex":[0.997761,0.0002302737,0.0003997107,0.0003369258,0.0009090301,0.0003629643],"domain_scores_gemma":[0.97645,0.009411087,0.001376787,0.001700968,0.008583209,0.00247786],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005756642,0.00002489422,0.0001473891,0.0003316717,0.000004537234,0.00001876629,0.00001333805,0.00002030488,0.00004479016,0.0002243489,0.9942045,0.004907869],"study_design_scores_gemma":[0.0007679226,0.00006240487,0.005435762,0.001414542,0.00002979921,0.0003305389,0.0002399208,0.0002225018,0.0007364467,0.003051094,0.9876161,0.00009293033],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0003691754,0.0004693563,0.0007790194,0.004426064,0.002815727,0.0003778127,0.9299556,0.004395883,0.05641128],"genre_scores_gemma":[0.007008716,0.001713957,0.004717746,0.007261161,0.003253573,0.001730917,0.788121,0.008427481,0.1777655],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9471227,"threshold_uncertainty_score":0.075423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04129792402019762,"score_gpt":0.3467965700582645,"score_spread":0.3054986460380669,"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."}}