{"id":"W4382929308","doi":"10.30656/jak.v10i2.5643","title":"Differences In Financial Performance And Earning Persistence Before And During The Covid-19 Pandemi","year":2023,"lang":"en","type":"article","venue":"JAK (Jurnal Akuntansi) Kajian Ilmiah Akuntansi","topic":"SMEs Development and Digital Marketing","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Pandemic; Coronavirus disease 2019 (COVID-19); Economic impact analysis; Economics; Productivity; Demographic economics; Profit (economics); Agency (philosophy); Business; Development economics; Economic growth; Geography; Infectious disease (medical specialty)","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001838063,0.0002981564,0.0003583232,0.0003190067,0.002084746,0.0004679091,0.0004044345,0.0001908263,0.00007982738],"category_scores_gemma":[0.001384811,0.0002380074,0.00007466191,0.001267394,0.0007557731,0.000725144,0.0002519366,0.0005468573,0.00002159554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000283992,"about_ca_system_score_gemma":0.0004784149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005751323,"about_ca_topic_score_gemma":0.005951271,"domain_scores_codex":[0.9971671,0.0002677808,0.0004666233,0.000542474,0.0006783154,0.0008777365],"domain_scores_gemma":[0.9985828,0.0005870094,0.0001809581,0.0001703791,0.00006386535,0.0004150364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009821504,0.00001207707,0.9649725,0.00009926507,0.00001370436,0.0000803116,0.02636446,0.000008358575,0.0000535813,0.0006203605,0.0002413653,0.007435794],"study_design_scores_gemma":[0.0006419844,0.00006240747,0.9689229,0.0001618865,0.00001426061,0.0000614609,0.01612735,0.0002739403,0.00001049446,0.0004605936,0.0129227,0.0003400236],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9859393,0.0002336102,0.000005594302,0.003756543,0.000292028,0.000329641,0.000009662812,0.0001655951,0.009268065],"genre_scores_gemma":[0.9952335,0.001012091,0.00006965473,0.0007976497,0.0002940354,0.00003312739,0.000005087433,0.00002245218,0.002532439],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01268133,"threshold_uncertainty_score":0.9992144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02840840517408335,"score_gpt":0.2574194435076321,"score_spread":0.2290110383335488,"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."}}