{"id":"W2743992781","doi":"10.3390/socsci6030090","title":"Financing Health Care in Ghana: Are Ghanaians Willing to Pay Higher Taxes for Better Health Care? Findings from Afrobarometer","year":2017,"lang":"en","type":"article","venue":"Social Sciences","topic":"Healthcare Systems and Reforms","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"University of Ghana; University of Toronto","keywords":"Health care; Government (linguistics); Language change; Business; Opposition (politics); Willingness to pay; Public economics; Parliament; Payment; Demographic economics; Economics; Politics; Economic growth; Finance; Political science; Law","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002963847,0.0002476842,0.0002441062,0.001052768,0.001155436,0.001196255,0.0003745645,0.0006705741,0.004703582],"category_scores_gemma":[0.009247649,0.0002488583,0.0003578359,0.001916103,0.001468719,0.001432533,0.0008667475,0.001465214,0.0003713463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001859972,"about_ca_system_score_gemma":0.002652608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04764973,"about_ca_topic_score_gemma":0.0629043,"domain_scores_codex":[0.9988703,0.0005028661,0.0000620764,0.00008468153,0.0001278863,0.0003521926],"domain_scores_gemma":[0.9869087,0.00504085,0.005414702,0.0002440671,0.0008910115,0.001500755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001111288,0.0001281194,0.9681672,0.00007684541,0.00002389309,0.0003923822,0.02308151,0.00004709397,0.0001269164,0.0005330808,0.001336818,0.005974986],"study_design_scores_gemma":[0.00001488874,0.00008150733,0.9032811,0.0001539173,0.00002561567,0.0001290158,0.09387572,0.0001414422,0.00006927399,0.0001533726,0.002066179,0.000007996266],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958695,0.0002168129,0.00002468257,0.00218785,0.000007284063,0.00001144703,0.0001068507,7.623341e-7,0.001574914],"genre_scores_gemma":[0.9989069,0.0002654062,0.00003380655,0.0003698603,0.00001143167,0.00001151888,0.00007661893,0.000001399684,0.0003231477],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04764973,"threshold_uncertainty_score":0.0947448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07102310098273346,"score_gpt":0.3257527760736066,"score_spread":0.2547296750908731,"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."}}