{"id":"W2755306711","doi":"10.1016/j.kisu.2017.08.001","title":"Global Kidney Health Atlas (GKHA): design and methods","year":2017,"lang":"en","type":"review","venue":"Kidney International Supplements","topic":"Chronic Kidney Disease and Diabetes","field":"Medicine","cited_by":73,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; University of Calgary; University of Alberta","funders":"","keywords":"Kidney disease; Health care; Medicine; Context (archaeology); Global health; Nephrology; Public health; Political science; Public relations; Family medicine; Economic growth; Nursing; Internal medicine; Geography; Economics","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":[0.02477174,0.002279428,0.003291621,0.01674328,0.001146317,0.003701092,0.002422515,0.001424356,0.07202045],"category_scores_gemma":[0.04325964,0.001213571,0.004541196,0.01626961,0.001332811,0.002257587,0.004186899,0.001562834,0.01185614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005300432,"about_ca_system_score_gemma":0.03757327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0104156,"about_ca_topic_score_gemma":0.02115217,"domain_scores_codex":[0.9869659,0.00481108,0.004016388,0.0009676735,0.002609056,0.0006299384],"domain_scores_gemma":[0.979117,0.009149945,0.004321154,0.001330868,0.005437637,0.0006433976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002023792,0.0003222056,0.007579255,0.3536898,0.005297495,0.0001497023,0.000953524,0.001745814,0.0005360272,0.02461397,0.2688522,0.3342362],"study_design_scores_gemma":[0.0009181499,0.000298567,0.01082123,0.06428786,0.007332933,0.0001303384,0.0007760662,0.0002685242,0.000662238,0.006505956,0.9078536,0.000144583],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.006138241,0.2927894,0.02006981,0.009333474,0.005333472,0.1374863,0.4917372,0.00104974,0.03606233],"genre_scores_gemma":[0.02899727,0.2527896,0.1045985,0.01259297,0.001883939,0.4443641,0.127721,0.0006199487,0.02643269],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.07202045,"threshold_uncertainty_score":0.2409324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1178467015250951,"score_gpt":0.5037646503937966,"score_spread":0.3859179488687015,"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."}}