{"id":"W3174221654","doi":"","title":"Healthcare Utilisation Under the 30-Baht Scheme Among the Urban Poor in Mitrapap Slum, Khon Kaen, Thailand","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Healthcare Systems and Reforms","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Poverty; Business; Quarter (Canadian coin); Health care; User fee; Government (linguistics); Slum; Socioeconomics; Medicine; Environmental health; Geography; Economic growth; Economics; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003922698,0.0001842425,0.0001801552,0.0008227011,0.0009845447,0.0008378373,0.0003098513,0.0003564308,0.001573723],"category_scores_gemma":[0.0009753672,0.0002651006,0.0002305894,0.001195672,0.0007642574,0.0007015393,0.001119153,0.0004388014,0.000154434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006721994,"about_ca_system_score_gemma":0.00110433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0411846,"about_ca_topic_score_gemma":0.05334858,"domain_scores_codex":[0.9995757,0.0001387665,0.00005731797,0.00005089523,0.00005886825,0.0001185106],"domain_scores_gemma":[0.9991178,0.0001143652,0.0004041904,0.00002283217,0.0000823427,0.0002584637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002881735,0.00004055929,0.9955968,0.00003793508,0.0000110952,0.0002554394,0.002433432,0.00004315164,0.0001688923,0.00002692656,0.0001291143,0.001227922],"study_design_scores_gemma":[0.000003324695,0.0001192376,0.9867687,0.00003023512,0.000008349567,0.0004586052,0.0122347,0.0001391017,0.00004804898,0.00002352393,0.0001590568,0.000007245607],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996307,0.00004480428,0.00001004333,0.00004299283,9.542689e-7,0.000006437554,0.0001112144,9.476503e-7,0.0001517714],"genre_scores_gemma":[0.9997384,0.00006627481,0.0000143027,0.0000238542,0.000001306532,0.000009353766,0.00005890333,3.996937e-7,0.00008720453],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0411846,"threshold_uncertainty_score":0.08188975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01618002783601218,"score_gpt":0.2241070348180936,"score_spread":0.2079270069820814,"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."}}