{"id":"W4311947574","doi":"10.3389/fpubh.2022.1014351","title":"Health shocks, basic medical insurance and common prosperity: Based on the analysis of rural middle-aged and elderly groups","year":2022,"lang":"en","type":"article","venue":"Frontiers in Public Health","topic":"Global Health Care Issues","field":"Health Professions","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Fundamental Research Funds for the Central Universities; Trường Đại học Kinh tế - Luật, Đại học Quốc gia Thành phố Hồ Chí Minh; National Social Science Fund of China; Zhongnan University of Economics and Law","keywords":"Prosperity; Shock (circulatory); China; Welfare; Demographic economics; Rural area; Promotion (chess); Poverty; Medicine; Economic growth; Socioeconomics; Gerontology; Economics; Geography; Political science; Politics","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":[0.001145032,0.0002605138,0.0003686668,0.002211167,0.0005360196,0.0006997362,0.0004305562,0.0003165633,0.00218954],"category_scores_gemma":[0.002594938,0.0001035149,0.001317259,0.002393906,0.0003927192,0.0007693681,0.001370245,0.0005504623,0.0001291509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008888218,"about_ca_system_score_gemma":0.001355227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03822556,"about_ca_topic_score_gemma":0.02833302,"domain_scores_codex":[0.9993455,0.0001964723,0.00004525561,0.0001293111,0.0001127192,0.0001707965],"domain_scores_gemma":[0.9990003,0.0002981019,0.0002883192,0.00006768455,0.0001213182,0.0002243099],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004923889,0.00005620813,0.992365,0.00003087483,0.0001763824,0.0001516805,0.0004311234,0.0003756608,0.00005202712,0.0005321111,0.0003503612,0.005429389],"study_design_scores_gemma":[0.000008008145,0.00006017208,0.9941794,0.00002022914,0.0001640017,0.00006165585,0.001497577,0.002803087,0.0000473034,0.0006088875,0.000542112,0.000007638554],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972346,0.0005345957,0.0006001474,0.0004161425,0.00001401048,0.00002945726,0.0004858703,0.000003579024,0.0006816459],"genre_scores_gemma":[0.9990559,0.0001538527,0.000129824,0.00003950963,0.00001331524,0.00001622937,0.0003917619,8.59066e-7,0.0001986518],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03822556,"threshold_uncertainty_score":0.07600611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04859744522225631,"score_gpt":0.3623884084185736,"score_spread":0.3137909631963173,"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."}}