{"id":"W1768995464","doi":"10.1016/j.foodpol.2015.09.002","title":"Explaining grain and oilseed price volatility: The role of export restrictions","year":2015,"lang":"en","type":"article","venue":"Food Policy","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":41,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"U.S. Department of Agriculture","keywords":"Volatility (finance); Economics; Econometrics; Univariate; Multivariate statistics; Mathematics","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":[0.001216692,0.0003124692,0.000487504,0.0005412824,0.0003066319,0.002798226,0.0004996822,0.001094712,0.002610384],"category_scores_gemma":[0.007142667,0.0002891077,0.0005965382,0.0005929569,0.0006814367,0.002200713,0.0006054117,0.001383923,0.0002455282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007850145,"about_ca_system_score_gemma":0.000658894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01128785,"about_ca_topic_score_gemma":0.007434668,"domain_scores_codex":[0.9998074,0.00004977057,0.00001389362,0.00004108894,0.00002541479,0.00006245688],"domain_scores_gemma":[0.9957489,0.002731642,0.0009481682,0.0002291636,0.0001447861,0.0001972374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001104114,0.0004545773,0.5936968,0.0001772708,0.0005798445,0.00081051,0.0005409211,0.1926412,0.01026139,0.1532408,0.004516443,0.04197612],"study_design_scores_gemma":[0.00008131189,0.0001181366,0.2542879,0.00004449248,0.0001985303,0.0001273741,0.0007662941,0.601097,0.002502965,0.1365571,0.004143501,0.00007541968],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9885184,0.0005918153,0.005511793,0.001812322,0.00003102008,0.000006489668,0.0001932043,0.0000356926,0.003299219],"genre_scores_gemma":[0.9988606,0.0002363819,0.0001990767,0.00003500102,0.0000368382,0.000001423996,0.00008032945,0.00001060039,0.0005397364],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01128785,"threshold_uncertainty_score":0.02244425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03909480095465344,"score_gpt":0.2442070616631908,"score_spread":0.2051122607085374,"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."}}