{"id":"W1822193863","doi":"10.1111/cjag.12079","title":"Risk Management for Grain Processors and “Copulas”","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Risk and Portfolio Optimization","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Copula (linguistics); Futures contract; Econometrics; Price risk; Hedge; Volatility (finance); Economics; Risk management; Actuarial science; Financial economics; Finance","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":[0.00213579,0.0002551377,0.000565863,0.0006008405,0.0002636185,0.0004942431,0.0006951742,0.0001190242,0.00004914217],"category_scores_gemma":[0.0007495478,0.0001917275,0.0002068079,0.000241237,0.0001114529,0.0009003065,0.00002785551,0.000169366,0.00002947104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008366024,"about_ca_system_score_gemma":0.0006125727,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.008281373,"about_ca_topic_score_gemma":0.5840436,"domain_scores_codex":[0.9976313,0.00006470086,0.001228546,0.0004257301,0.00003866923,0.0006111171],"domain_scores_gemma":[0.995221,0.0001635806,0.001240927,0.0002569839,0.0006553719,0.002462125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004461936,0.00005950216,0.1321944,0.00006713246,0.0009446557,0.0001909541,0.01848844,0.1825059,0.00000450687,0.132166,0.3021224,0.2308099],"study_design_scores_gemma":[0.003548649,0.000987702,0.1106586,0.0000634133,0.0002605848,0.001052664,0.02484362,0.003282294,0.00002674983,0.1587544,0.6954406,0.00108068],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911,0.0005172333,0.0002392143,0.002870118,0.001788865,0.0004018179,0.0002115991,0.000005829356,0.002865372],"genre_scores_gemma":[0.9921511,0.0003713768,0.003400367,0.0002592253,0.0005970801,0.00001838247,0.00002886879,0.00002066353,0.003152893],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5757622,"threshold_uncertainty_score":0.9983225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06416113815722291,"score_gpt":0.241331726304096,"score_spread":0.1771705881468731,"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."}}