{"id":"W2593553303","doi":"10.24002/kinerja.v10i1.921","title":"PENGARUH POTENSI KEBANGKRUTAN PERUSAHAAN PUBLIK TERHADAP PERGANTIAN AUDITOR","year":2017,"lang":"en","type":"article","venue":"KINERJA","topic":"Financial Analysis and Corporate Governance","field":"Business, Management and Accounting","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sample (material); Accounting; Audit; Business; Bankruptcy; Proxy (statistics); Finance; Statistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001349281,0.0003925973,0.0004023824,0.00115097,0.0009789664,0.003200882,0.0003068969,0.0003939168,0.02117852],"category_scores_gemma":[0.002598141,0.0002564107,0.0002241585,0.001312538,0.0004567291,0.001405952,0.001335709,0.0009592167,0.003741935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006519998,"about_ca_system_score_gemma":0.002184197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001982699,"about_ca_topic_score_gemma":0.00284059,"domain_scores_codex":[0.9991311,0.0001974771,0.00006341155,0.000125606,0.0003081649,0.0001743468],"domain_scores_gemma":[0.9982203,0.0006040015,0.0004087054,0.0001005786,0.000454538,0.0002117889],"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":[0.0007007659,0.000825727,0.1522383,0.001795958,0.000149372,0.003677607,0.008252893,0.001711334,0.007546478,0.0166315,0.02864931,0.7778208],"study_design_scores_gemma":[0.0001094673,0.0007630097,0.4831033,0.001400058,0.0003160267,0.005227392,0.01799922,0.004682107,0.0142247,0.009635199,0.4623937,0.0001458715],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8518003,0.01706943,0.006877193,0.00622794,0.0008195882,0.0001423848,0.001286167,0.0003953483,0.1153817],"genre_scores_gemma":[0.9385687,0.007740028,0.00371631,0.0002653988,0.0002094981,0.00009511149,0.0008352245,0.00007067971,0.04849901],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02117852,"threshold_uncertainty_score":0.07084918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01789086745424314,"score_gpt":0.2030038732151505,"score_spread":0.1851130057609073,"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."}}