{"id":"W1830250962","doi":"10.5539/ijef.v7n11p52","title":"Firm’s Financial Flexibility: Driving Factors, Flexibility Degree and Economic Results: A Comparison of America and China","year":2015,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Risk Management in Financial Firms","field":"Business, Management and Accounting","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"China University of Petroleum, Beijing; National Natural Science Foundation of China","keywords":"Flexibility (engineering); Investment (military); China; Business; Degree (music); Financial risk; Finance; Industrial organization; Economics; Management; Political science","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":[0.0005028198,0.0001616129,0.0004173759,0.0002008548,0.00005878491,0.0001910865,0.000281189,0.0000603124,0.00000435154],"category_scores_gemma":[0.0003716783,0.0001559905,0.00006438605,0.00004837691,0.0001764546,0.001078105,0.0002979657,0.0001495418,0.000002613891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008753845,"about_ca_system_score_gemma":0.00006534353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006684165,"about_ca_topic_score_gemma":0.0002602314,"domain_scores_codex":[0.9986807,0.000009194054,0.0008191857,0.0002578621,0.00009185913,0.0001412354],"domain_scores_gemma":[0.9984114,0.00006842594,0.001191757,0.0001396093,0.0001650003,0.00002382146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001656509,0.0003565332,0.6524973,0.0001032643,0.0002175016,0.00001843512,0.001323033,0.01218158,0.00002022838,0.08746269,0.00649459,0.2376684],"study_design_scores_gemma":[0.002341192,0.0001638645,0.6951258,0.0001215843,0.00005305008,0.00001199688,0.0002908784,0.06627914,0.00004368166,0.04306209,0.1921709,0.0003358403],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958454,0.0005881258,0.0002022539,0.001117721,0.0008826018,0.0000992862,0.00003266727,0.000005576087,0.001226355],"genre_scores_gemma":[0.9971566,0.001086497,0.001051072,0.0001294656,0.0005214916,0.000001275534,0.000008615492,0.00001079508,0.00003416082],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2373325,"threshold_uncertainty_score":0.636111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05357293215132158,"score_gpt":0.2789423197920007,"score_spread":0.2253693876406792,"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."}}