{"id":"W2746567507","doi":"10.1186/s12992-017-0292-y","title":"A study on satisfaction with publicly financed health services in China","year":2017,"lang":"en","type":"article","venue":"Globalization and Health","topic":"Healthcare Systems and Reforms","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Office for Philosophy and Social Sciences; Ministry of Education, India","keywords":"Likert scale; Scale (ratio); Logistic regression; China; Health services research; Health care; Ordered logit; Rural health; Public health; Environmental health; Medicine; Psychology; Nursing; Economic growth; Geography; Statistics; Mathematics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009395957,0.0001204328,0.0003884538,0.0001509353,0.0005986136,0.0001741795,0.0001004781,0.00005503044,0.000009704375],"category_scores_gemma":[0.000008488764,0.00009856284,0.00001585953,0.0001405196,0.00001937449,0.0002981522,0.00002482564,0.00009872481,0.00002206091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002739517,"about_ca_system_score_gemma":0.0001070596,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.200496,"about_ca_topic_score_gemma":0.1003963,"domain_scores_codex":[0.9987008,0.00003223585,0.000545232,0.0003667753,0.00005692269,0.0002980383],"domain_scores_gemma":[0.9987174,0.000001671466,0.0007428667,0.000364335,0.0000199662,0.0001537518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001313442,0.00008121011,0.945228,0.0001613366,0.000005289048,0.000001137892,0.002136111,0.00001806684,1.142262e-8,0.03812566,0.00006076679,0.01416927],"study_design_scores_gemma":[0.001072637,0.0006698507,0.9939836,0.0001421014,1.876911e-7,0.000003550467,0.0007605772,0.0001789122,5.785177e-8,0.0009582258,0.002132301,0.00009796688],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.979623,0.0006423271,0.0004948514,0.01398336,0.0003149014,0.001045375,0.00005981218,0.00003913174,0.003797211],"genre_scores_gemma":[0.9976528,0.00060305,0.00005553852,0.001485844,0.00004792531,0.00002492847,0.00001506672,0.00001145453,0.0001033917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1000997,"threshold_uncertainty_score":0.9160191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05068053120138642,"score_gpt":0.3198743048028478,"score_spread":0.2691937736014614,"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."}}