{"id":"W4387146148","doi":"10.17721/1728-2667.2023/222-1/19","title":"THE RELATIONSHIP BETWEEN GDP AND TAX REVENUES FROM THE MARKET OF GAMBLING AND LOTTERIES IN LITHUANIA","year":2023,"lang":"en","type":"article","venue":"Bulletin of Taras Shevchenko National University of Kyiv Economics","topic":"Gambling Behavior and Treatments","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lottery; Revenue; Tax revenue; Economics; Consumption (sociology); Income tax; Demographic economics; Public economics; Sociology; Accounting; Social science","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":[0.0002691351,0.000155236,0.0002116463,0.001650322,0.000340346,0.001385851,0.0003520338,0.0002554795,0.003447834],"category_scores_gemma":[0.001350497,0.000136942,0.0003441845,0.001869662,0.000353184,0.0003828103,0.0007633996,0.0006379204,0.0006916644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009259678,"about_ca_system_score_gemma":0.0009427345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04472281,"about_ca_topic_score_gemma":0.03758882,"domain_scores_codex":[0.9997662,0.00003315253,0.00003433957,0.00002802853,0.00004499513,0.00009328758],"domain_scores_gemma":[0.9986175,0.0001822646,0.0007622804,0.00004162559,0.0001781038,0.0002182417],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004426645,0.00003439935,0.9941753,0.0000245565,0.00002986487,0.0002689906,0.0001955494,0.0004861953,0.0000419481,0.0005100193,0.001201033,0.002988046],"study_design_scores_gemma":[0.000003151702,0.00001890684,0.9963791,0.00002583297,0.00001195166,0.0001671244,0.00100937,0.0006476698,0.00005725844,0.00008269154,0.001591766,0.000005271743],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945489,0.0004353382,0.00003528994,0.0003769854,0.0000136708,0.000004342026,0.002029382,0.00001382744,0.002542285],"genre_scores_gemma":[0.9960062,0.0003224558,0.00003113498,0.00002924582,0.000012837,0.000004725062,0.002263112,0.000003406026,0.001326889],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04472281,"threshold_uncertainty_score":0.08892494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1198362078187286,"score_gpt":0.3109047815504872,"score_spread":0.1910685737317587,"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."}}