{"id":"W3130901419","doi":"10.5267/j.ac.2021.2.008","title":"Liquidity variations and variability cohesiveness with revenue and profitability: A case of Saudi energy sector companies","year":2021,"lang":"en","type":"article","venue":"Accounting","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Deanship of Scientific Research, Prince Sattam bin Abdulaziz University; Prince Sattam bin Abdulaziz University","keywords":"Market liquidity; Liquidity risk; Accounting liquidity; Liquidity crisis; Business; Profitability index; Current asset; Finance; Liquidity premium; Group cohesiveness; Revenue; Current ratio; Working capital; Debt; Financial system; Monetary economics; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004281417,0.0001352,0.0002560967,0.00004077762,0.0002018271,0.0001285444,0.00005879958,0.00005037087,0.00002487489],"category_scores_gemma":[0.0003272561,0.0001267174,0.00002386771,0.0003998968,0.0001247816,0.0008564456,0.0001519733,0.00007915872,0.000001039929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001673761,"about_ca_system_score_gemma":0.00006772422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004106513,"about_ca_topic_score_gemma":0.0035167,"domain_scores_codex":[0.9991233,0.00002418263,0.0002328555,0.0003347036,0.0001186429,0.000166293],"domain_scores_gemma":[0.998859,0.0001483073,0.0003416029,0.0002444195,0.0003977406,0.000008945242],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005655175,0.0001108158,0.9644234,0.0008749614,0.00004205104,0.0002203326,0.0001466065,0.00004116332,0.001294037,0.02953634,0.0001917521,0.003062001],"study_design_scores_gemma":[0.0012226,0.00003036144,0.9647446,0.000440958,0.0002403611,0.0003672501,0.0004819168,0.00626238,0.0009344085,0.01133792,0.01337298,0.0005643204],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997052,0.0001460466,0.00189571,0.0003683188,0.0000752715,0.0001061139,0.00004191555,0.00002473466,0.0002898846],"genre_scores_gemma":[0.999076,0.00001688377,0.0003366558,0.0002513017,0.0002286039,0.00001778682,0.00001098759,0.0000138531,0.00004792491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01819842,"threshold_uncertainty_score":0.6207847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0146683155594157,"score_gpt":0.2027573056801945,"score_spread":0.1880889901207788,"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."}}