{"id":"W4292547910","doi":"10.21109/kesmas.v17isp1.6056","title":"Does It Still Show a Deficit? Arguing Post-COVID-19 Health Financing System in Bogor, Indonesia","year":2022,"lang":"en","type":"article","venue":"Kesmas National Public Health Journal","topic":"Healthcare Systems and Reforms","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Indonesian; Quarter (Canadian coin); Government (linguistics); Pandemic; Health care; National health insurance; Coronavirus disease 2019 (COVID-19); Descriptive statistics; Business; Medicine; Economic growth; Geography; Economics; Environmental health; Disease","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":[0.001043164,0.0001011274,0.0002777798,0.001071832,0.0005995373,0.002407628,0.0003732873,0.0004259124,0.00240648],"category_scores_gemma":[0.002605769,0.0001176715,0.0001291032,0.001562157,0.0008134957,0.001556963,0.001115255,0.00112069,0.0001587346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003736492,"about_ca_system_score_gemma":0.002880032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03914066,"about_ca_topic_score_gemma":0.04813449,"domain_scores_codex":[0.9994286,0.00009568296,0.00004632497,0.00004884603,0.00009659191,0.0002839544],"domain_scores_gemma":[0.9979018,0.0002828422,0.001119381,0.00004606404,0.0002434757,0.0004064182],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002138053,0.0001727714,0.9575856,0.00009308654,0.00005005619,0.001900222,0.002546702,0.0005968158,0.0005614415,0.01014473,0.005593223,0.02054139],"study_design_scores_gemma":[0.00001152442,0.00005497027,0.9825255,0.0001010329,0.00001712082,0.0003216729,0.007468708,0.0007990506,0.0002529925,0.001316878,0.007120197,0.00001032428],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871997,0.0004942727,0.00006127785,0.006675921,0.00002220482,0.00001404306,0.0004825375,0.00000351531,0.005046442],"genre_scores_gemma":[0.998778,0.0002066603,0.00003160454,0.0002706483,0.00001771847,0.000004916926,0.0001566501,0.00000177283,0.000531985],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03914066,"threshold_uncertainty_score":0.07782567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07700713883556522,"score_gpt":0.3038914731781521,"score_spread":0.2268843343425869,"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."}}