{"id":"W3116518434","doi":"10.34128/jra.v3i2.62","title":"ANALISIS Z-SCORE DALAM MENGUKUR KINERJA KEUANGAN UNTUK MEMPREDIKSI KEBANGKRUTAN PERUSAHAAN MANUFAKTUR PADA MASA PANDEMI COVID-19","year":2020,"lang":"en","type":"article","venue":"Jurnal Riset Akuntansi Politala","topic":"Management and Optimization Techniques","field":"Business, Management and Accounting","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Bankruptcy; Business; Coronavirus disease 2019 (COVID-19); Default; Business administration; Accounting; Actuarial science; Finance; Medicine; History","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":[0.001566529,0.000776505,0.0007457741,0.001999535,0.0005555522,0.00214603,0.0005722765,0.0004542283,0.01779445],"category_scores_gemma":[0.005600365,0.000165466,0.0007452711,0.00227067,0.0005294139,0.001073385,0.0008038924,0.001065151,0.003127843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005281241,"about_ca_system_score_gemma":0.0007763588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004574044,"about_ca_topic_score_gemma":0.003362112,"domain_scores_codex":[0.9988418,0.0002683695,0.0001078926,0.0002440263,0.0004080253,0.0001298308],"domain_scores_gemma":[0.9971982,0.001483891,0.0004712603,0.0001217076,0.0005437058,0.0001812331],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001313468,0.0006219734,0.7257298,0.0007504757,0.001071553,0.001022173,0.003124705,0.003785417,0.00237922,0.006349037,0.02144974,0.2324024],"study_design_scores_gemma":[0.00005479302,0.001170336,0.9267773,0.0003037351,0.0005721098,0.0009655646,0.01288692,0.01817774,0.003312314,0.003862693,0.03180569,0.000110949],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9578788,0.002703579,0.008254158,0.001045406,0.0002993089,0.0001228366,0.002890503,0.0002734499,0.02653201],"genre_scores_gemma":[0.984284,0.0007290112,0.003019062,0.00006674214,0.00004510318,0.0001146011,0.002136591,0.0000488458,0.00955607],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01779445,"threshold_uncertainty_score":0.05952841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04380023764244965,"score_gpt":0.2621074881640784,"score_spread":0.2183072505216287,"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."}}