{"id":"W4286254405","doi":"10.37481/sjr.v5i3.514","title":"THE EFFECT OF LIQUIDITY, GOOD CORPORATE GOVERNANCE, AND COMPANY SIZE ON COMPANY’S FINANCIAL PERFORMANCE (STUDY IN THE PANDEMIC TIME OF COVID-19)","year":2022,"lang":"en","type":"article","venue":"SCIENTIFIC JOURNAL OF REFLECTION Economic Accounting Management and Business","topic":"Corporate Governance and Financial Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Market liquidity; Stock exchange; Accounting; Business; Corporate governance; Sample (material); Nonprobability sampling; Pandemic; Quarter (Canadian coin); Financial statement; Coronavirus disease 2019 (COVID-19); Actuarial science; Finance; Population","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":[0.001422567,0.0002324677,0.0001874266,0.0007290891,0.0004927114,0.001329969,0.0002733678,0.000583301,0.003076728],"category_scores_gemma":[0.00548204,0.0001206165,0.0004625747,0.0006077729,0.0006769003,0.001174302,0.0009266196,0.001258562,0.0002448068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008616951,"about_ca_system_score_gemma":0.0008857057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005322694,"about_ca_topic_score_gemma":0.007853176,"domain_scores_codex":[0.9988559,0.0003518726,0.00009210521,0.0001525917,0.0002043241,0.0003431537],"domain_scores_gemma":[0.9906452,0.002759811,0.004333356,0.0002265901,0.0005111686,0.001523948],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001011002,0.0002231818,0.9935684,0.00002840857,0.00005664254,0.0002117763,0.0008274773,0.00009041728,0.0001156897,0.0002439049,0.0002949722,0.004238143],"study_design_scores_gemma":[0.000003481905,0.0001838066,0.9973125,0.00002865947,0.00002824339,0.00006826976,0.001669504,0.0001856359,0.000117004,0.00009023087,0.0003067746,0.000005880258],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975578,0.0003173786,0.00003702368,0.0003441977,0.00001074194,0.000008446407,0.00007603666,0.000001025781,0.001647398],"genre_scores_gemma":[0.999537,0.00008562351,0.00002035623,0.00003476811,0.00001320322,0.000004629615,0.00006416526,5.369973e-7,0.0002397789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005322694,"threshold_uncertainty_score":0.0105834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02339152083116527,"score_gpt":0.2355354136597381,"score_spread":0.2121438928285728,"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."}}