{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000538194,0.0007006931,0.0007063479,0.0006173121,0.0005508084,0.0009550701,0.000988105,0.000253917,0.002379466],"category_scores_gemma":[0.000449029,0.0006577875,0.0003880481,0.001373372,0.0001701186,0.001852997,0.0005946701,0.0005221454,0.0002361901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002280838,"about_ca_system_score_gemma":0.00009900294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001235144,"about_ca_topic_score_gemma":0.0002638109,"domain_scores_codex":[0.9962068,0.00006615875,0.0009375458,0.000915063,0.0009660795,0.0009083593],"domain_scores_gemma":[0.9981295,0.00009148522,0.0006119238,0.000607912,0.0002322187,0.0003269769],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004176456,0.0003049879,0.2348453,0.001465646,0.0004793491,0.0005399051,0.001219172,0.001673309,0.0006055668,0.1178087,0.6379021,0.002738347],"study_design_scores_gemma":[0.00261015,0.0001367884,0.02322575,0.0001168745,0.0006522563,0.00002507789,0.003395778,0.01553001,0.0003598088,0.00772764,0.9442939,0.001925985],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.468048,0.001097052,0.03189811,0.1014456,0.002237992,0.004294575,0.0005496242,0.007109942,0.3833191],"genre_scores_gemma":[0.954896,0.0001997349,0.000877963,0.038516,0.003314044,0.00007236968,0.0006614032,0.0001462326,0.001316207],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.486848,"threshold_uncertainty_score":0.9995874,"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."}}