{"id":"W3197203258","doi":"10.32520/jak.v10i1.1651","title":"EFEKTIVITAS PENGENDALIAN INTERNAL, ASIMETRI INFORMASI DAN IMPLEMENTASI GGG TERHADAP KECENDERUNGAN KECURANGAN AKUNTANSI PADA ORGANISASI PERANGKAT DAERAH KAB. INDRAGIRI HILIR","year":2021,"lang":"id","type":"article","venue":"JURNAL AKUNTANSI DAN KEUANGAN","topic":"Local Governance and Development","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute on Governance","funders":"","keywords":"Business administration; Physics; Business; Mathematics","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":[0.01463882,0.001279963,0.001279647,0.001969175,0.001549204,0.0111389,0.001043995,0.002221559,0.04621577],"category_scores_gemma":[0.03137045,0.0005789883,0.001998127,0.003106092,0.002915879,0.004717756,0.004701147,0.003254492,0.009755427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005903654,"about_ca_system_score_gemma":0.006788508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009344442,"about_ca_topic_score_gemma":0.0110242,"domain_scores_codex":[0.985907,0.006460271,0.0007710312,0.001329782,0.004085778,0.001446194],"domain_scores_gemma":[0.9566107,0.02388469,0.004716712,0.006099544,0.007126792,0.001561618],"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":[0.002100098,0.001179539,0.2029841,0.005363632,0.001325,0.0007049929,0.01096497,0.01374948,0.01158765,0.1769652,0.05016076,0.5229147],"study_design_scores_gemma":[0.0004101146,0.002212623,0.3801689,0.003415467,0.002359056,0.0006781091,0.02453316,0.01151952,0.02760269,0.1584748,0.3881576,0.0004679304],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3973781,0.006109432,0.05557613,0.02848317,0.0009043447,0.00102217,0.008275039,0.001347286,0.5009044],"genre_scores_gemma":[0.9210281,0.002779074,0.01539186,0.002302355,0.0002062654,0.0005764258,0.002197677,0.0003776333,0.0551406],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04621577,"threshold_uncertainty_score":0.1546072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02109335910658208,"score_gpt":0.2843177550320593,"score_spread":0.2632243959254772,"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."}}