{"id":"W3206994152","doi":"","title":"ANALISIS POTENSI KEBANGKRUTAN PADA PT. SEPATU BATA Tbk","year":2020,"lang":"id","type":"article","venue":"EKONOMIA","topic":"Financial Analysis and Corporate Governance","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bankruptcy; Quarter (Canadian coin); Value (mathematics); Mathematics; Actuarial science; Statistics; Finance; Economics; Geography","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":[0.001729773,0.0005484037,0.0004762266,0.003000198,0.0006221535,0.002493757,0.0003787148,0.000293611,0.009821394],"category_scores_gemma":[0.004803557,0.0001716951,0.0005072409,0.003596422,0.0004264359,0.001115763,0.0008940056,0.0007547005,0.002312911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007091613,"about_ca_system_score_gemma":0.0007458254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002864343,"about_ca_topic_score_gemma":0.003231956,"domain_scores_codex":[0.9987983,0.0002390234,0.0001566463,0.0001876304,0.0004907651,0.0001276471],"domain_scores_gemma":[0.9964235,0.001353245,0.000873786,0.0001827868,0.0009953601,0.0001712773],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006968637,0.0002924382,0.6972024,0.00092905,0.0003098244,0.002106578,0.006236987,0.001473424,0.002509064,0.00493628,0.01185437,0.2714526],"study_design_scores_gemma":[0.00000976159,0.0002213674,0.9497082,0.0002573467,0.0001766602,0.001549084,0.01276667,0.002871905,0.002213002,0.001427888,0.02875378,0.00004431124],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9624991,0.002093744,0.002679567,0.000664529,0.0001725094,0.0001015968,0.002584009,0.0001283926,0.02907661],"genre_scores_gemma":[0.9898315,0.0008657839,0.001604664,0.00004176996,0.00004040426,0.00005685326,0.001847435,0.00002451168,0.005687124],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009821394,"threshold_uncertainty_score":0.03285581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02024233849954672,"score_gpt":0.1829400812387633,"score_spread":0.1626977427392166,"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."}}