{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002219817,0.0008484728,0.0007144964,0.001497745,0.001670044,0.003793576,0.0007456572,0.000710233,0.02202452],"category_scores_gemma":[0.003243857,0.0004472319,0.0007342867,0.002838855,0.001074474,0.001588071,0.00142049,0.001609099,0.004928964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001984446,"about_ca_system_score_gemma":0.00434608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03670097,"about_ca_topic_score_gemma":0.1014138,"domain_scores_codex":[0.9984257,0.0003987111,0.00009506767,0.0003046712,0.0005507867,0.0002249691],"domain_scores_gemma":[0.9975002,0.0008072834,0.0003384984,0.0002062035,0.0009534506,0.0001942916],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00137664,0.0008597094,0.3358665,0.00429282,0.001007285,0.003114755,0.02075462,0.004463961,0.02629966,0.0296946,0.03393936,0.5383302],"study_design_scores_gemma":[0.00007690537,0.0008402993,0.5159014,0.001773394,0.0009701055,0.001265135,0.04452076,0.003180108,0.01528407,0.01857109,0.3974151,0.0002015762],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7489004,0.01728014,0.02121969,0.008841689,0.001471939,0.0004595526,0.008336968,0.0003744742,0.1931152],"genre_scores_gemma":[0.8847719,0.009208812,0.01782016,0.001478712,0.0002106844,0.0002488371,0.00411432,0.0002121184,0.08193437],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03670097,"threshold_uncertainty_score":0.07367933,"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."}}