{"id":"W4404322418","doi":"10.52566/msu-econ3.2024.86","title":"State budget system improvement for informed decision-making in Latvia","year":2024,"lang":"en","type":"article","venue":"Scientific Bulletin of Mukachevo State University Series “Economics”","topic":"Economic Issues in Ukraine","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"State (computer science); Business; Political science; Operations research; Computer science; Engineering","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":[0.01150694,0.0004995141,0.0003599775,0.003520346,0.002622638,0.007508424,0.0008496775,0.001105107,0.005995],"category_scores_gemma":[0.01708802,0.0003534025,0.0004190447,0.005302715,0.001556313,0.002745053,0.00363184,0.001101705,0.000694157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01143686,"about_ca_system_score_gemma":0.03750963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02596526,"about_ca_topic_score_gemma":0.04805468,"domain_scores_codex":[0.9883952,0.007728545,0.0009610237,0.0004130876,0.001149675,0.001352535],"domain_scores_gemma":[0.9881676,0.004604336,0.002035049,0.0007961557,0.003627217,0.0007695587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006109737,0.000366703,0.0866681,0.003359827,0.0002287996,0.002679467,0.02640721,0.02895884,0.004033739,0.2861461,0.03579449,0.5247458],"study_design_scores_gemma":[0.0001410758,0.0005651101,0.1873526,0.007649323,0.0001977804,0.001010229,0.05353241,0.02245171,0.003996001,0.0520877,0.6707762,0.0002398957],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6100913,0.01672635,0.03755608,0.04292256,0.0009362135,0.002163804,0.002185273,0.0006352224,0.2867832],"genre_scores_gemma":[0.9501185,0.00389894,0.02850456,0.001362295,0.00009088765,0.0006919797,0.001124013,0.00007199465,0.01413686],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02596526,"threshold_uncertainty_score":0.08298063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01126074647976568,"score_gpt":0.198642281511311,"score_spread":0.1873815350315453,"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."}}