{"id":"W4312179407","doi":"10.1111/cjag.12323","title":"The role of the U.S. exchange‐rate equity market volatility on agricultural exports and forecasts","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"North Dakota Soybean Council","keywords":"Volatility (finance); Equity (law); Economics; Autoregressive model; Agriculture; Exchange rate; Econometrics; Monetary economics; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001663859,0.0002418283,0.000281316,0.0006016513,0.0002699796,0.001702087,0.0002406566,0.00037463,0.001013207],"category_scores_gemma":[0.007421671,0.0001749477,0.0003310459,0.0005946088,0.0002886802,0.001118974,0.0004206486,0.0006485346,0.0001980505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006656097,"about_ca_system_score_gemma":0.0004706265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03668065,"about_ca_topic_score_gemma":0.04123184,"domain_scores_codex":[0.999689,0.0001201323,0.00002008036,0.00007531933,0.00005499455,0.00004067632],"domain_scores_gemma":[0.9949685,0.003180774,0.0009499982,0.0001871037,0.0005244312,0.0001893789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002029094,0.00005126984,0.8999117,0.00001854708,0.0001666937,0.0001625216,0.0001396122,0.07898307,0.0006912015,0.002822555,0.00180079,0.01504925],"study_design_scores_gemma":[0.00001532543,0.00008574711,0.5762172,0.00004095815,0.00008454566,0.000109158,0.000400139,0.4166138,0.001937434,0.002034648,0.002417197,0.00004379609],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942093,0.0002335724,0.001909708,0.0006179473,0.0000227073,0.000002978808,0.0007153208,0.00003953703,0.002248916],"genre_scores_gemma":[0.9987017,0.00007985864,0.0002673531,0.00002164409,0.00001191508,0.000001059914,0.000626064,0.000005863484,0.0002845413],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03668065,"threshold_uncertainty_score":0.07293427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01922346331553489,"score_gpt":0.162775886843604,"score_spread":0.1435524235280691,"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."}}