{"id":"W4311967768","doi":"10.1016/j.healthpol.2022.12.005","title":"Decomposition of socioeconomic inequalities in catastrophic out-of-pocket expenditure for healthcare in Canada","year":2022,"lang":"en","type":"article","venue":"Health Policy","topic":"Healthcare Systems and Reforms","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Socioeconomic status; Equity (law); Inequality; Consumption (sociology); Health care; Index (typography); Economics; Health services research; Socioeconomics; Business; Environmental health; Demographic economics; Geography; Economic growth; Medicine; Population; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001199749,0.0006149309,0.001405004,0.003067762,0.002019722,0.004720409,0.001692763,0.000925619,0.007916162],"category_scores_gemma":[0.006468845,0.0005875738,0.002138706,0.006895859,0.001341714,0.001017578,0.002325696,0.002351837,0.0002929137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08599392,"about_ca_system_score_gemma":0.08073934,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9963208,"about_ca_topic_score_gemma":0.996751,"domain_scores_codex":[0.9971968,0.0001951266,0.0001066496,0.0002014936,0.0005905423,0.001709358],"domain_scores_gemma":[0.9952508,0.0005089993,0.0005518529,0.0001877675,0.002049791,0.001450848],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004774455,0.0001938129,0.8631505,0.0001541684,0.001104701,0.0003512617,0.00112644,0.03709684,0.0003702801,0.05950459,0.02078113,0.01568894],"study_design_scores_gemma":[0.00003945207,0.00003827708,0.9323273,0.0001762789,0.000252349,0.00006614305,0.003485814,0.04739369,0.0002898213,0.00650981,0.009344804,0.00007621662],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9584565,0.002102912,0.0008752215,0.0065679,0.0000649808,0.00006908494,0.02127044,0.00006899902,0.01052397],"genre_scores_gemma":[0.991038,0.0006496277,0.0003360201,0.000162869,0.00002315659,0.00001366629,0.004404482,0.00001561043,0.003356605],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08599392,"threshold_uncertainty_score":0.6239325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06577328283688515,"score_gpt":0.3397310946805513,"score_spread":0.2739578118436662,"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."}}