{"id":"W6939940173","doi":"10.6084/m9.figshare.6679682.v1","title":"Additional file 1: of Income inequalities in multimorbidity prevalence in Ontario, Canada: a decomposition analysis of linked survey and health administrative data","year":2018,"lang":"en","type":"article","venue":"Figshare","topic":"Chronic Disease Management Strategies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Table (database); Decomposition; Inequality; Multimorbidity; Sensitivity (control systems); National Health Interview Survey","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":[0.001656909,0.0008306563,0.001059361,0.003932313,0.002236207,0.001560391,0.002053447,0.0005584229,0.4561988],"category_scores_gemma":[0.02576042,0.0007348694,0.001636226,0.01047366,0.0004311004,0.001076823,0.00114829,0.0009051097,0.02236058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01290778,"about_ca_system_score_gemma":0.02569227,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.954238,"about_ca_topic_score_gemma":0.9683143,"domain_scores_codex":[0.9988635,0.0001155609,0.0001413454,0.000169498,0.0004022268,0.0003079237],"domain_scores_gemma":[0.985065,0.005853577,0.0009946417,0.0008525908,0.006561337,0.0006728173],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001126134,0.0000432257,0.0322948,0.001013699,0.00009993333,0.00005675169,0.0002360069,0.0006335158,0.00004308145,0.0006564331,0.9585316,0.006278432],"study_design_scores_gemma":[0.001992464,0.00009103172,0.5623395,0.00357623,0.0005106286,0.0002986989,0.002485649,0.004685007,0.0005052384,0.002280251,0.4210383,0.0001969472],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0006591495,0.00001327281,0.00008415027,0.00005791235,0.000008056872,0.00006789119,0.9983997,0.0000379624,0.0006719341],"genre_scores_gemma":[0.03400753,0.0002062369,0.002841587,0.0002581129,0.00004650388,0.001592107,0.9490667,0.0002650587,0.01171624],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4561988,"threshold_uncertainty_score":0.7756664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2827647436820371,"score_gpt":0.407490878752808,"score_spread":0.1247261350707709,"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."}}