{"id":"W4394366584","doi":"10.6084/m9.figshare.c.3870760_d1","title":"Additional file 1: of Projecting prevalence, costs and evaluating simulated interventions for diabetic end stage renal disease in a Canadian population of aboriginal and non-aboriginal people: an agent based approach","year":2017,"lang":"en","type":"dataset","venue":"Figshare","topic":"demographic modeling and climate adaptation","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"End stage renal disease; Psychological intervention; Population; Disease; Medicine; Stage (stratigraphy); Demography; Gerontology; Computer science; Geography; Biology; Environmental health; Internal medicine; Sociology; Nursing","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":[0.001431343,0.0009142913,0.0007847135,0.001493388,0.0009152209,0.001372359,0.003009406,0.00102393,0.158631],"category_scores_gemma":[0.009633379,0.000666573,0.00151651,0.003415904,0.0002927651,0.0005195563,0.0007507649,0.001305479,0.01466807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009575774,"about_ca_system_score_gemma":0.01636362,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9041715,"about_ca_topic_score_gemma":0.9280457,"domain_scores_codex":[0.9995628,0.00009163863,0.00003805112,0.00008615157,0.0001095317,0.0001119108],"domain_scores_gemma":[0.9968356,0.001195255,0.0001802184,0.000291763,0.001291282,0.0002058186],"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":[0.0001554645,0.00008804478,0.01164301,0.0007299006,0.0002070076,0.00004623049,0.00006564175,0.0241942,0.00003950342,0.002676608,0.9543884,0.005766062],"study_design_scores_gemma":[0.005061369,0.0001451669,0.07707556,0.002225441,0.0006385962,0.0001323752,0.0009248467,0.08987381,0.0005268377,0.009294392,0.8138773,0.0002244689],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005866583,0.00002318438,0.0001300721,0.0001032528,0.00001097186,0.00004117546,0.9980522,0.00006731932,0.0009851684],"genre_scores_gemma":[0.02369838,0.0001929709,0.00307361,0.0001645618,0.00002236569,0.0005803778,0.9674183,0.0001155833,0.004733817],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.158631,"threshold_uncertainty_score":0.5306737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1433866562319579,"score_gpt":0.4458555909311879,"score_spread":0.30246893469923,"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."}}