{"id":"W2895822285","doi":"10.1186/s12882-018-1058-3","title":"Prevalence, socio-demographic characteristics, and comorbid health conditions in pre-dialysis chronic kidney disease: results from the Manitoba chronic kidney disease cohort","year":2018,"lang":"en","type":"article","venue":"BMC Nephrology","topic":"Census and Population Estimation","field":"Mathematics","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Seven Oaks General Hospital; Manitoba Health","funders":"Diagnostic Services Manitoba; University of Manitoba","keywords":"Medicine; Kidney disease; Albuminuria; Cohort; Nephrology; Population; Dialysis; Renal function; Public health; Cohort study; Internal medicine; Environmental health; Intensive care medicine; Pathology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006939486,0.000274157,0.0004332224,0.0001610132,0.000458477,0.000052327,0.0002547404,0.0001322013,0.0004160507],"category_scores_gemma":[0.001808396,0.0002340453,0.0001202345,0.0002849307,0.0005986181,0.000142967,0.0001121379,0.0002501396,0.00004816766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002883075,"about_ca_system_score_gemma":0.001069029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009379325,"about_ca_topic_score_gemma":0.004699939,"domain_scores_codex":[0.9972497,0.0006238432,0.0008105676,0.0005777896,0.0002639139,0.0004741449],"domain_scores_gemma":[0.9970785,0.0007749231,0.0006282401,0.0007861477,0.0001150982,0.0006171279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000462008,0.0001937452,0.948063,0.0004167703,0.0001110091,0.000006122272,0.0005235107,0.00001387039,0.00003264784,0.006248145,0.04352884,0.0004003845],"study_design_scores_gemma":[0.001617066,0.0001174187,0.9614535,0.0001847777,0.0003050325,0.000002623203,0.00001220639,0.01145603,0.000001336638,0.01751101,0.007119977,0.0002190124],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.980397,0.0007651825,0.001117219,0.009616675,0.0004084693,0.00153,0.005995939,0.000129019,0.00004042988],"genre_scores_gemma":[0.9910718,0.0007304806,0.0004838828,0.002870847,0.00116271,0.0001860728,0.003335182,0.00003839706,0.0001206247],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03640886,"threshold_uncertainty_score":0.9544092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02814005226493206,"score_gpt":0.3092538871175587,"score_spread":0.2811138348526267,"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."}}