{"id":"W36505075","doi":"10.3389/fphys.2022.1009320","title":"Defisit anggaran, utang pemerintah dan keberlanjutan fiscal: aplikasi model vector error correction","year":2005,"lang":"en","type":"article","venue":"Frontiers in Physiology","topic":"Economic Growth and Fiscal Policies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.002154416,0.0014338,0.0009460304,0.0006869854,0.0007686777,0.001676428,0.001241492,0.00122385,0.01208848],"category_scores_gemma":[0.007671569,0.0005403913,0.0009820902,0.0007315797,0.0004270982,0.001215388,0.001366146,0.001972615,0.003801571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007688265,"about_ca_system_score_gemma":0.002302093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01555556,"about_ca_topic_score_gemma":0.01354364,"domain_scores_codex":[0.9991624,0.0002838492,0.00006896386,0.0001874527,0.0002138059,0.00008346163],"domain_scores_gemma":[0.9978185,0.0008926592,0.0001606141,0.0002052788,0.0008679425,0.00005500951],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005193554,0.0001514804,0.005644466,0.0006873597,0.00027988,0.0005292724,0.0004041293,0.4639213,0.0119462,0.01515899,0.01301027,0.4877473],"study_design_scores_gemma":[0.00002158091,0.00008254398,0.001230091,0.00007397642,0.00004713317,0.0001316635,0.00009483781,0.9735916,0.006285451,0.004273701,0.01412286,0.00004469515],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01790663,0.0009890759,0.9707733,0.000721277,0.0005534465,0.0001099031,0.0005079636,0.00400497,0.004433404],"genre_scores_gemma":[0.4589803,0.001586297,0.4990669,0.000505773,0.0002180073,0.0005044166,0.002404677,0.001934892,0.03479889],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01555556,"threshold_uncertainty_score":0.04043996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0196308266140934,"score_gpt":0.2161161578626097,"score_spread":0.1964853312485163,"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."}}