{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001687442,0.0001212381,0.0005697932,0.00009873704,0.0000673859,0.00004266035,0.0001232284,0.0001002411,0.00001648424],"category_scores_gemma":[0.0006577758,0.00009389577,0.0001356078,0.0002655761,0.0002423054,0.0001175979,0.00003273303,0.0001342313,0.000002746686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001453645,"about_ca_system_score_gemma":0.00002650982,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02389782,"about_ca_topic_score_gemma":0.0003782482,"domain_scores_codex":[0.9985623,0.0002321398,0.0005575679,0.0003133069,0.0001655806,0.0001691153],"domain_scores_gemma":[0.9991438,0.0003394345,0.0001629473,0.0002207847,0.00003227065,0.0001007186],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001864443,0.00001267996,0.9560614,0.0002670592,0.0002820157,0.000007207408,0.008848979,0.0008464914,4.319796e-7,0.02823846,0.00000846766,0.005408211],"study_design_scores_gemma":[0.0009367201,0.0000321286,0.9875827,0.00005058626,0.00002749297,3.485076e-7,0.0009767369,0.00188579,0.000005989943,0.005436724,0.002922287,0.0001424669],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9777973,0.004393117,0.001318303,0.01595934,0.00003671879,0.0003022412,0.00011353,0.00001358113,0.00006589511],"genre_scores_gemma":[0.99663,0.0008074035,0.00005928957,0.00234117,0.00006654577,0.00001988384,0.00006825985,0.000006548729,8.908468e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03152138,"threshold_uncertainty_score":0.9826021,"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."}}