{"id":"W2170223075","doi":"10.1093/heapol/czp016","title":"Determinants of health care demand in poor, rural China: the case of Gansu Province","year":2009,"lang":"en","type":"article","venue":"Health Policy and Planning","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":116,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University","funders":"","keywords":"China; Multinomial logistic regression; Health care; Business; Income elasticity of demand; Rural area; Public health; Socioeconomics; Environmental health; Economic growth; Public economics; Economics; Medicine; Geography; Nursing; Labour economics","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":[0.0008233638,0.000275016,0.0004792607,0.001656263,0.001090575,0.001171403,0.0006561346,0.0003516615,0.001907075],"category_scores_gemma":[0.002341049,0.0002318026,0.0006157614,0.002272659,0.001112861,0.0004261256,0.001222542,0.0005818371,0.00009441993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005204611,"about_ca_system_score_gemma":0.002892047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4804034,"about_ca_topic_score_gemma":0.4054684,"domain_scores_codex":[0.9992952,0.0001981404,0.00002103516,0.00004791589,0.00008651775,0.0003511743],"domain_scores_gemma":[0.9979792,0.000539472,0.0005096111,0.00009839489,0.000284639,0.0005885665],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001197186,0.00009725882,0.9845514,0.00003044319,0.00008733977,0.001204077,0.0009340181,0.007190889,0.0003221711,0.001986179,0.000561859,0.002914711],"study_design_scores_gemma":[0.00004260831,0.00006133479,0.9700065,0.00002069478,0.00005196805,0.0001958207,0.004830932,0.02293772,0.00009748825,0.0009900091,0.0007406308,0.00002437669],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990634,0.00005840425,0.00005043094,0.0002253503,9.01681e-7,0.000007299609,0.0001145833,0.000001846417,0.0004777045],"genre_scores_gemma":[0.999706,0.00003963168,0.00002969974,0.0000160675,0.000001658069,0.000003440868,0.00006420071,5.754525e-7,0.0001387572],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4804034,"threshold_uncertainty_score":0.9552143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07410363290852173,"score_gpt":0.3209912355561146,"score_spread":0.2468876026475929,"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."}}