{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001108015,0.0001925177,0.0001150417,0.001419228,0.00490015,0.0058424,0.0004090742,0.0009092236,0.005435201],"category_scores_gemma":[0.002287861,0.0002287805,0.0001422142,0.001837265,0.01010373,0.001169515,0.001074314,0.001704936,0.001003427],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01504551,"about_ca_system_score_gemma":0.0261047,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4087488,"about_ca_topic_score_gemma":0.4742722,"domain_scores_codex":[0.9985227,0.0001853583,0.00003706557,0.0001311591,0.0008021835,0.0003215668],"domain_scores_gemma":[0.9990141,0.0002374135,0.0001544076,0.00006808137,0.0003895332,0.0001363596],"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":[0.000008986051,0.000008733602,0.00118511,0.00004057388,0.000003006829,0.0002116253,0.006547366,0.0002257117,0.0005233576,0.9655539,0.003198585,0.02249286],"study_design_scores_gemma":[0.00001559784,0.00002262095,0.01585632,0.0002607156,0.00002426029,0.0005382349,0.01260234,0.0007127264,0.001712635,0.2226604,0.7455401,0.00005405045],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1114677,0.007960054,0.01967667,0.01712445,0.0003845543,0.0001387227,0.0003248755,0.0001216869,0.8428012],"genre_scores_gemma":[0.9196732,0.002934074,0.007673596,0.0004391877,0.00008173985,0.00004763417,0.00006596595,0.00003209538,0.06905242],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9849545,"threshold_uncertainty_score":0.8127393,"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."}}