{"id":"W4385781399","doi":"10.1016/j.ekir.2023.07.032","title":"Regional Variation in Hemoglobin Distribution Among Individuals With CKD: the ISN International Network of CKD Cohorts","year":2023,"lang":"en","type":"article","venue":"Kidney International Reports","topic":"Erythropoietin and Anemia Treatment","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Ottawa Hospital; University of Ottawa","funders":"Bureau of International Security and Nonproliferation; National Institute of Diabetes and Digestive and Kidney Diseases","keywords":"Medicine; Hemoglobin; Cohort; Kidney disease; Renal function; Internal medicine; Demography; Confidence interval; Cohort study; Population; Environmental health","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007022674,0.0001697416,0.0002449128,0.0001129123,0.000066415,0.00003326933,0.0001381994,0.00009929863,0.0004179956],"category_scores_gemma":[0.0005771479,0.0001181193,0.0001025515,0.0004434568,0.0001404857,0.0001409073,0.00008362883,0.0001961293,0.0000164044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003347998,"about_ca_system_score_gemma":0.0003084966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002967885,"about_ca_topic_score_gemma":0.00003897789,"domain_scores_codex":[0.9977204,0.00004390306,0.0006326934,0.0003508021,0.001024154,0.000228066],"domain_scores_gemma":[0.9986598,0.0001171598,0.0004841065,0.0002831225,0.0003232852,0.0001325551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001078432,0.0002062392,0.8880064,0.00001645272,0.0003212193,0.0006143916,0.0002886871,0.0006355754,0.0001636702,0.00190196,0.1073509,0.00038662],"study_design_scores_gemma":[0.001122115,0.00008741869,0.9449033,0.000477538,0.00006901748,0.0006753914,0.0001116077,0.0008852979,0.0003189412,0.001245135,0.04998105,0.0001232203],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9529415,0.00003561331,0.0003958177,0.03348922,0.001509586,0.0006720931,0.0001282811,0.00010832,0.01071961],"genre_scores_gemma":[0.9915637,0.00009473035,0.0004589557,0.0005892539,0.0004482836,0.00009320987,0.003755393,0.00001929978,0.002977154],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0573699,"threshold_uncertainty_score":0.4816765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01109829843937976,"score_gpt":0.2660911965172504,"score_spread":0.2549928980778706,"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."}}