{"id":"W2946235030","doi":"10.51289/peta.v1i1.209","title":"PENGARUH SISA LEBIH PERHITUNGAN ANGGARAN (SiLPA) TERHADAP PENETAPAN JUMLAH ANGGARAN PADA TAHUN ANGGARAN BERIKUTNYA","year":2017,"lang":"id","type":"article","venue":"Jurnal Penelitian Teori & Terapan Akuntansi (PETA)","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":"Humanities; Philosophy","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.002347482,0.002755023,0.004415402,0.001439789,0.004675393,0.004836801,0.00512825,0.001520048,0.002252125],"category_scores_gemma":[0.0006609484,0.003337553,0.002602541,0.0005107576,0.002120337,0.003692441,0.001001382,0.00300762,0.003285819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001088412,"about_ca_system_score_gemma":0.0004654186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004348472,"about_ca_topic_score_gemma":0.003383859,"domain_scores_codex":[0.9860334,0.0003855372,0.00489379,0.003761211,0.0006222669,0.004303819],"domain_scores_gemma":[0.9870453,0.0004031011,0.004444893,0.005307461,0.000340557,0.002458675],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001103562,0.001820791,0.8874906,0.001421898,0.002830127,0.000953257,0.009151877,0.00006534615,0.002343508,0.04788284,0.02782345,0.01711271],"study_design_scores_gemma":[0.006439514,0.001299965,0.6882105,0.0006621366,0.0004520444,0.0004334158,0.00184865,0.001059374,0.001408451,0.004393346,0.2892818,0.004510883],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7944081,0.01094932,0.0001258839,0.01064172,0.006213533,0.001720175,0.00244679,0.0003110048,0.1731835],"genre_scores_gemma":[0.9695068,0.003685212,0.0004271136,0.005030437,0.004616953,0.0001264779,0.0004165179,0.0005702037,0.01562029],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2614583,"threshold_uncertainty_score":0.9997762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03167690561406303,"score_gpt":0.2386498610821335,"score_spread":0.2069729554680704,"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."}}