{"id":"W4400859751","doi":"10.34925/eip.2022.141.4.021","title":"Comparative characteristics of the formation of federal budget revenues in Russia and abroad","year":2022,"lang":"ru","type":"article","venue":"Экономика и предпринимательство","topic":"Economic and Technological Developments in Russia","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Federal budget; Revenue; Business; Political science; Economics; Regional science; Geography; Accounting; Finance; Fiscal year","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":[0.0006313364,0.000101283,0.0002061306,0.002853891,0.0006653091,0.001523127,0.0002091531,0.0001843752,0.003323026],"category_scores_gemma":[0.003544837,0.0001038219,0.0002502054,0.00249762,0.0005418587,0.0006183665,0.001053979,0.0003969385,0.00048343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001890663,"about_ca_system_score_gemma":0.001777556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02105638,"about_ca_topic_score_gemma":0.02556337,"domain_scores_codex":[0.9993499,0.0001136991,0.00005838279,0.00006981524,0.0001337915,0.0002744478],"domain_scores_gemma":[0.9982789,0.000311453,0.0006936145,0.00006602424,0.0003100495,0.0003401024],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003451768,0.00009976226,0.8927431,0.00006679606,0.00009064004,0.0004483014,0.00614468,0.002148393,0.00109942,0.04943262,0.002961966,0.04441917],"study_design_scores_gemma":[0.000005115755,0.0000341891,0.9870583,0.0000251274,0.00001562286,0.0001427221,0.003135944,0.0005842649,0.0003111949,0.0008250105,0.0078509,0.00001149431],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9849578,0.0002576759,0.000220331,0.0002057748,0.000007702918,0.00001070718,0.0005187531,0.000010946,0.01381024],"genre_scores_gemma":[0.9973125,0.0001311798,0.00008636239,0.000005641474,0.000005202009,0.000005686122,0.0003636336,0.000005059213,0.002084766],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02105638,"threshold_uncertainty_score":0.04186767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02608032027434795,"score_gpt":0.2931513994981332,"score_spread":0.2670710792237853,"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."}}