{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.02027284,0.0002851002,0.0009273043,0.002083584,0.001961182,0.0002673182,0.0005305033,0.0001446699,0.0002801396],"category_scores_gemma":[0.001038721,0.0002306161,0.0002068375,0.00125937,0.00004029492,0.0006284959,0.0001529879,0.001485393,0.00005511893],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.014,"about_ca_system_score_gemma":0.01082204,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009227775,"about_ca_topic_score_gemma":0.001501284,"domain_scores_codex":[0.9937545,0.0005326499,0.003132049,0.000635135,0.0005759663,0.001369666],"domain_scores_gemma":[0.9957507,0.0001490671,0.002245506,0.0002548675,0.0002785948,0.001321268],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009287517,0.0007206725,0.3505077,0.003258256,0.0001421176,0.0001903496,0.02158972,0.006727698,0.00000154018,0.5807295,0.01102421,0.02501538],"study_design_scores_gemma":[0.00305296,0.0005728472,0.1386215,0.0002394798,8.96791e-7,0.001937735,0.01525024,0.00565009,1.27859e-7,0.005826437,0.828178,0.0006696178],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3044752,0.009843942,0.01108135,0.6614303,0.006905606,0.001770152,0.001377076,0.0001872804,0.002929071],"genre_scores_gemma":[0.9727202,0.0002961495,0.0005110058,0.02517468,0.0006687367,0.0001342927,0.00009227939,0.00005099257,0.0003516589],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8171538,"threshold_uncertainty_score":0.9993382,"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."}}