{"id":"W4328095764","doi":"10.54691/bcpbm.v38i.4209","title":"Dynamic Changes in US Technical Company under Uncertain Market","year":2023,"lang":"en","type":"article","venue":"BCP Business & Management","topic":"Global Financial Crisis and Policies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Renminbi; Interest rate; Liberian dollar; Economics; Exchange rate; Value (mathematics); Financial economics; Us dollar; Autoregressive conditional heteroskedasticity; Monetary economics; Financial market; Finance; Volatility (finance)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006431405,0.0001746481,0.0002025282,0.001741839,0.0005928108,0.002164149,0.0003368048,0.0006891809,0.003153222],"category_scores_gemma":[0.004062659,0.0001300819,0.0002161257,0.002070978,0.0003131002,0.001833229,0.0005734059,0.0005153575,0.000483193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001673621,"about_ca_system_score_gemma":0.000488053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01679579,"about_ca_topic_score_gemma":0.0137576,"domain_scores_codex":[0.9992796,0.00006041742,0.00004443411,0.0001180373,0.0003580117,0.0001395548],"domain_scores_gemma":[0.9977084,0.0004246733,0.001012902,0.0000792113,0.0006068632,0.0001680246],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005125382,0.0003948294,0.798311,0.000134584,0.0001046893,0.004190668,0.00186145,0.05519709,0.005142298,0.03884481,0.02688967,0.06841639],"study_design_scores_gemma":[0.00002324772,0.0001994556,0.7386457,0.00005875257,0.00008402108,0.0009330024,0.005086734,0.1982119,0.003040582,0.01042631,0.04318142,0.0001089955],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9788862,0.0003991858,0.0009075527,0.0009593432,0.00002729115,0.00001499548,0.001495749,0.00004692144,0.01726266],"genre_scores_gemma":[0.9964138,0.0001897516,0.0001552528,0.00005228719,0.00002447391,0.000005231185,0.0007520711,0.000005636874,0.00240154],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01679579,"threshold_uncertainty_score":0.03339607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0296076031213525,"score_gpt":0.2509281904706412,"score_spread":0.2213205873492887,"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."}}