{"id":"W2902728544","doi":"","title":"ФІСКАЛЬНІ ОРГАНИ КАНАДИ: ПРАВОВІ ЗАСАДИ ОРГАНІЗАЦІЇ ТА ДІЯЛЬНОСТІ","year":2018,"lang":"uk","type":"article","venue":"Вісник Харківського національного університету імені В. Н. Каразіна. Серія «Право»","topic":"Legal and Policy Issues","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"State (computer science); Function (biology); Political science; Business; Economic policy; Law and economics; Economics","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":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"category_scores_codex":[0.006534591,0.005264038,0.005413473,0.002067949,0.008036798,0.003073299,0.008875974,0.004540262,0.0297885],"category_scores_gemma":[0.003435069,0.00527691,0.003276798,0.008123003,0.0111124,0.004601076,0.003054052,0.004981464,0.06267886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00253698,"about_ca_system_score_gemma":0.004997059,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03587196,"about_ca_topic_score_gemma":0.02731474,"domain_scores_codex":[0.9657885,0.003971508,0.00589115,0.006661717,0.006977244,0.01070987],"domain_scores_gemma":[0.979372,0.002624988,0.003321502,0.006210069,0.002945191,0.005526201],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002075166,0.00462248,0.01937418,0.001408073,0.003075321,0.001082846,0.1134054,0.0000492548,0.00679909,0.1800888,0.5990667,0.06895264],"study_design_scores_gemma":[0.005016587,0.002757255,0.007502298,0.001216866,0.001286858,0.0001644369,0.008958998,0.0005011378,0.008877879,0.01962727,0.937398,0.006692483],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1965664,0.01393686,0.0007199085,0.04237765,0.02804102,0.006608308,0.002227574,0.004430414,0.7050918],"genre_scores_gemma":[0.7799436,0.00473137,0.001499592,0.01062157,0.03278646,0.0004658155,0.0003931299,0.001007608,0.1685508],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5833772,"threshold_uncertainty_score":0.9979616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05167260882105327,"score_gpt":0.4246352216997527,"score_spread":0.3729626128786994,"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."}}