{"id":"W4302470269","doi":"10.53088/jikab.v1i1.7","title":"BNI Syariah Sebelum Pandemi Covid 19 Ditinjau Dari Prediksi Financial Distress","year":2022,"lang":"en","type":"article","venue":"Jurnal Ilmiah Keuangan Akuntansi Bisnis","topic":"Islamic Finance and Communication","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Coronavirus disease 2019 (COVID-19); Gray (unit); Financial distress; Pandemic; Meaning (existential); Distress; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Business; Actuarial science; Economics; Psychology; Financial system; Medicine; History; Infectious disease (medical specialty); Internal medicine; Disease; Virology; Nuclear medicine; Clinical psychology","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":[0.0003986123,0.0002964513,0.0002263036,0.0006032438,0.001964513,0.001385458,0.00018246,0.0004469467,0.01505611],"category_scores_gemma":[0.00085215,0.000117334,0.0001212925,0.0006372796,0.0005347061,0.0006064938,0.001112003,0.0008945726,0.001519299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001172226,"about_ca_system_score_gemma":0.00226299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005382252,"about_ca_topic_score_gemma":0.008952074,"domain_scores_codex":[0.9997501,0.00004013979,0.00001782946,0.00002320305,0.00008521745,0.00008343573],"domain_scores_gemma":[0.9995778,0.00008163747,0.0001250224,0.0000170013,0.000102963,0.00009563394],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005357534,0.0005406928,0.4856755,0.001378598,0.000071879,0.007734743,0.02136812,0.0008255997,0.01083574,0.03345156,0.08688273,0.3506992],"study_design_scores_gemma":[0.00003956138,0.0003460638,0.6413155,0.001072322,0.00005316833,0.008000915,0.04830179,0.0011568,0.002975899,0.003932063,0.2927292,0.00007674046],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8825881,0.00501355,0.0008183732,0.009675715,0.0006468637,0.0001266112,0.001028556,0.00008595993,0.1000164],"genre_scores_gemma":[0.9715399,0.004063413,0.0007953647,0.0008833809,0.0001494232,0.00006126548,0.000661393,0.000009532278,0.02183627],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01505611,"threshold_uncertainty_score":0.05036771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0265808672894585,"score_gpt":0.3072483478046822,"score_spread":0.2806674805152237,"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."}}