{"id":"W3088769435","doi":"10.32497/akunbisnis.v1i2.1234","title":"Perhitungan Alokasi Dana Bagi Hasil Pajak Rokok Pada Badan Pengelola Pendapatan Daerah Provinsi Jawa Tengah Triwulan Iv Tahun 2016","year":2018,"lang":"en","type":"article","venue":"Jurnal Aktual Akuntansi Keuangan Bisnis Terapan (AKUNBISNIS)","topic":"Economic Growth and Fiscal Policies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Revenue; Population; Java; Business; Tax revenue; Finance; Economics; Geography; Medicine; Environmental health; Public economics; Computer 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.001417936,0.001542133,0.002264631,0.001301921,0.001517314,0.001045155,0.002044983,0.0007818389,0.0008783254],"category_scores_gemma":[0.0003387454,0.001595561,0.0009751506,0.001033359,0.001156957,0.001891977,0.0004825043,0.001591433,0.002871245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008020063,"about_ca_system_score_gemma":0.0003511969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003016197,"about_ca_topic_score_gemma":0.002767666,"domain_scores_codex":[0.991299,0.0002261028,0.003169699,0.002369979,0.0004087132,0.002526468],"domain_scores_gemma":[0.9945462,0.0002797732,0.00156418,0.001971202,0.0003079858,0.001330692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001268031,0.002312304,0.7821565,0.0004262776,0.001584321,0.0003904982,0.0162255,0.0000209411,0.007529967,0.07896307,0.07801992,0.03110263],"study_design_scores_gemma":[0.005927475,0.002622236,0.4197081,0.0002570683,0.0001701938,0.0005485258,0.002229,0.001374477,0.004698346,0.004257025,0.5542387,0.003968801],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9089497,0.001634907,0.0002531295,0.003162059,0.002140432,0.001158989,0.001408652,0.000437988,0.08085413],"genre_scores_gemma":[0.9841966,0.000467624,0.0005275065,0.004647271,0.00340682,0.0001144128,0.0003189656,0.0003365104,0.005984314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4762188,"threshold_uncertainty_score":0.9999918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02770842797694376,"score_gpt":0.2196985144901499,"score_spread":0.1919900865132061,"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."}}