{"id":"W2410206648","doi":"10.1017/aae.2015.14","title":"CROSS HEDGING WINTER CANOLA","year":2015,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Agricultural Statistics Service; National Institute of Food and Agriculture; Oklahoma Agricultural Experiment Station; U.S. Department of Agriculture","keywords":"Canola; Futures contract; Hedge; Economics; Agribusiness; Futures market; Soybean meal; Financial economics; Agronomy; Business; Agricultural economics; Agricultural science; Environmental science; Biology; Agriculture; Botany","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006096728,0.0001333145,0.0003975475,0.00006682836,0.00006002703,0.0001738522,0.0001622575,0.00007840676,0.00005287102],"category_scores_gemma":[0.00002572167,0.0001025679,0.0001026195,0.00005711948,0.00004709866,0.0002867467,0.00006562949,0.0001784055,0.00001629166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001217479,"about_ca_system_score_gemma":0.00001811728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001911749,"about_ca_topic_score_gemma":0.00001623447,"domain_scores_codex":[0.9988932,0.000004626723,0.0007236522,0.0001746409,0.00001967617,0.0001842121],"domain_scores_gemma":[0.9990053,0.00002406158,0.0006165598,0.00009306098,0.00005894923,0.000202048],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002893841,0.0001890674,0.8329506,0.00006598292,0.000339135,0.000002194073,0.001854584,0.005084087,0.0001033428,0.1493135,0.0043843,0.005423812],"study_design_scores_gemma":[0.001416749,0.00009681206,0.9512509,0.00001219139,0.00001110003,0.000123768,0.0005092444,0.0008827737,0.00009291336,0.03206948,0.01318677,0.0003472902],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9730915,0.0004248635,0.0001392419,0.0004004079,0.0004265449,0.00006162067,0.00002637855,0.000006246128,0.02542324],"genre_scores_gemma":[0.9982058,0.0001352629,0.0006176076,0.0001341163,0.0003088566,0.000001496536,0.000004005276,0.000007794232,0.0005849994],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1183003,"threshold_uncertainty_score":0.4182599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02314962529267546,"score_gpt":0.2074516710732778,"score_spread":0.1843020457806023,"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."}}