{"id":"W4307184895","doi":"10.54691/bcpbm.v30i.2406","title":"The Russia-Ukraine Conflict, Crude Oil Price, and Transportation Industry Yield","year":2022,"lang":"en","type":"article","venue":"BCP Business & Management","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Volatility (finance); Autoregressive conditional heteroskedasticity; Economics; Index (typography); Crude oil; Petroleum industry; Brent Crude; Shock (circulatory); Production (economics); Yield (engineering); Short run; Estimation; Economy; Econometrics; Macroeconomics; Environmental science; Engineering","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":[0.0002850338,0.0001721045,0.0001659584,0.0005148172,0.0002636148,0.001335711,0.0001589975,0.0002792892,0.001274383],"category_scores_gemma":[0.001932118,0.0001196093,0.0002626016,0.0006879705,0.0002620361,0.0006302671,0.0005851932,0.000479835,0.0001737879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008111054,"about_ca_system_score_gemma":0.0005553016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01334367,"about_ca_topic_score_gemma":0.008670062,"domain_scores_codex":[0.9997856,0.00003251926,0.00002999236,0.00004382183,0.00005476288,0.00005337011],"domain_scores_gemma":[0.9990428,0.0002575311,0.0004713119,0.00003966171,0.0001049749,0.00008379072],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001019676,0.000100536,0.9681025,0.0000305207,0.0001488918,0.0008845741,0.0003642101,0.01858116,0.001850158,0.002859456,0.0003260395,0.006650045],"study_design_scores_gemma":[0.000005557562,0.000077387,0.963345,0.000021536,0.00006842913,0.0002619722,0.001234388,0.03071781,0.001563519,0.001673884,0.001006404,0.00002401545],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981097,0.00008462335,0.0002437342,0.00006749902,0.00000341836,0.000001689786,0.00008085296,0.000004251707,0.001404287],"genre_scores_gemma":[0.9994718,0.00007740093,0.00004285069,0.000006104216,0.000002081116,9.646692e-7,0.0001060138,0.000001248625,0.0002916997],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01334367,"threshold_uncertainty_score":0.02653199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02279590782597568,"score_gpt":0.2069629760449011,"score_spread":0.1841670682189255,"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."}}