{"id":"W7132837390","doi":"10.33019/0xkhq490","title":"<b>Analisis Pengaruh Jumlah Penduduk, PDRB dan Belanja Daerah Terhadap Penerimaan Pajak Daerah Kabupaten Bangka</b>","year":2025,"lang":"","type":"article","venue":"Zoning","topic":"Economic Growth and Fiscal Policies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Revenue; Population; Tax revenue; Local government; Welfare; Local governance; Corporate governance","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001557397,0.0003425871,0.0003642168,0.002826505,0.0006475495,0.001631828,0.000368694,0.0001705716,0.01531175],"category_scores_gemma":[0.002495252,0.0001900054,0.0004030339,0.004402905,0.0004748629,0.00101857,0.0007599714,0.0007207028,0.002008835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001516252,"about_ca_system_score_gemma":0.002064651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03436863,"about_ca_topic_score_gemma":0.04573527,"domain_scores_codex":[0.9993834,0.0001194491,0.00006479654,0.0001084121,0.0002135202,0.0001103885],"domain_scores_gemma":[0.9977556,0.0008225134,0.0003982467,0.0001105329,0.0007238415,0.0001892912],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000352303,0.0002452744,0.7034124,0.001683813,0.0002341213,0.001866565,0.01381017,0.002087257,0.002614662,0.00986634,0.02509901,0.2387282],"study_design_scores_gemma":[0.000009849103,0.00011176,0.8663027,0.0003964227,0.0000899478,0.0004752112,0.03088452,0.001789589,0.002181721,0.0006542729,0.09706365,0.00004037004],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9345328,0.002880033,0.002108161,0.0008653661,0.0001161821,0.0002188528,0.008738247,0.0001200133,0.05042043],"genre_scores_gemma":[0.9484752,0.002429683,0.003040876,0.00008755011,0.00003579683,0.0001754965,0.00532125,0.00006219083,0.040372],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03436863,"threshold_uncertainty_score":0.0683372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02204371351647772,"score_gpt":0.2214032870050476,"score_spread":0.1993595734885699,"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."}}