{"id":"W4327768560","doi":"10.4108/eai.18-11-2022.2326857","title":"Research on the Management Level of Increasing SNC Enterprise Cash Flow Based on Regression Model","year":2023,"lang":"en","type":"article","venue":"","topic":"Regional Development and Environment","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Cash flow; Cash management; Cash flow forecasting; Business; Cash; Regression analysis; Operating cash flow; Order (exchange); Computer science; Econometrics; Finance; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00328731,0.00007019784,0.00007170538,0.0001709745,0.0005156844,0.00002916018,0.0002706588,0.00004210975,0.0002176168],"category_scores_gemma":[0.0000496103,0.00004192528,0.00004269493,0.0003947477,0.0001610292,0.00004066162,0.0001130632,0.0001104633,0.0002348982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001544279,"about_ca_system_score_gemma":0.00005071253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003709587,"about_ca_topic_score_gemma":0.00008066523,"domain_scores_codex":[0.9978076,0.0003239636,0.0001220129,0.0001838719,0.001290125,0.0002723878],"domain_scores_gemma":[0.9992694,0.0004193657,0.00002758444,0.0002025041,0.00002248091,0.00005869404],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00098147,0.0007238786,0.006497473,0.0001000497,0.0001110082,0.00008590514,0.01720271,0.2008854,0.0006225039,0.3198839,0.3706521,0.08225369],"study_design_scores_gemma":[0.001000387,0.0001713726,0.119969,0.001066995,0.00001704072,2.086065e-7,0.02259904,0.7904676,0.001565836,0.01930968,0.04337289,0.0004599736],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4264394,0.00000431372,0.001362355,0.02108607,0.0001205036,0.000530295,0.000005315407,0.00006143547,0.5503904],"genre_scores_gemma":[0.969732,0.0001633569,0.001628403,0.0003262098,0.00002728274,0.00002973021,0.000005143197,0.000007534385,0.02808031],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5895823,"threshold_uncertainty_score":0.396628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3314990723859563,"score_gpt":0.4097925349788271,"score_spread":0.07829346259287079,"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."}}