{"id":"W3005022849","doi":"10.1161/circoutcomes.119.006139","title":"Burden and Consequences of Financial Hardship From Medical Bills Among Nonelderly Adults With Diabetes Mellitus in the United States","year":2020,"lang":"en","type":"article","venue":"Circulation Cardiovascular Quality and Outcomes","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":105,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Advancing Health Outcomes","funders":"","keywords":"Medicine; Diabetes mellitus; Intensive care medicine; Environmental health; Gerontology; Internal medicine; Endocrinology","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":[0.0006561473,0.0001911229,0.0002056879,0.0007969277,0.0005545264,0.0006101993,0.0002593654,0.0003368762,0.001306812],"category_scores_gemma":[0.00277775,0.0001745094,0.0004732695,0.001048597,0.0002732883,0.0005713227,0.0009797142,0.0007333786,0.00009394018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005672219,"about_ca_system_score_gemma":0.0005615152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01876469,"about_ca_topic_score_gemma":0.04885659,"domain_scores_codex":[0.9994342,0.0001576298,0.0001160981,0.00006512689,0.0001139477,0.0001131035],"domain_scores_gemma":[0.9972277,0.0002197277,0.001825305,0.00006507365,0.0002105748,0.0004516722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001978056,0.00002308212,0.9977582,0.00001040805,0.00002830067,0.00004304686,0.00006314742,0.00003612017,0.00002036207,0.00001858749,0.0002212196,0.001757763],"study_design_scores_gemma":[0.000001469953,0.00001785035,0.9993444,0.00001977569,0.00001028869,0.00008308084,0.000279199,0.00008320263,0.000009085255,0.00002026119,0.0001290613,0.000002280392],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972597,0.0006493381,0.00003406525,0.0005303843,0.00001758576,0.000007526234,0.0008434966,0.000002706299,0.0006551265],"genre_scores_gemma":[0.998596,0.0004714633,0.00007018592,0.000142934,0.00002346772,0.000006941716,0.0005943511,8.381246e-7,0.00009379875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01876469,"threshold_uncertainty_score":0.03731096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06780763726343285,"score_gpt":0.271862752298351,"score_spread":0.2040551150349181,"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."}}