{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001014446,0.0003486184,0.0003130295,0.0008026119,0.0002198542,0.0008528206,0.0003910385,0.000260775,0.002721075],"category_scores_gemma":[0.001826596,0.00008691604,0.0002460458,0.000496535,0.0001221324,0.0006788724,0.0005004134,0.0002612142,0.0002230231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007977593,"about_ca_system_score_gemma":0.000293951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008362641,"about_ca_topic_score_gemma":0.01483241,"domain_scores_codex":[0.999681,0.00003916076,0.0000154279,0.00006437273,0.0001641932,0.00003591811],"domain_scores_gemma":[0.9993667,0.0002053649,0.00008322259,0.00007296392,0.0002180632,0.00005370713],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003714988,0.001004008,0.3097556,0.0002530599,0.0009638331,0.0008700002,0.0002942964,0.2870246,0.06339201,0.007729923,0.004480734,0.3205169],"study_design_scores_gemma":[0.0001564308,0.002247398,0.3594509,0.00004977254,0.000434112,0.0004741294,0.0005353345,0.5700234,0.05035442,0.006334333,0.009841491,0.00009820775],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936156,0.000261263,0.001616333,0.0000444787,0.00001621089,0.00001342214,0.0002058526,0.00004866787,0.004178186],"genre_scores_gemma":[0.9979141,0.00005117761,0.0008076481,0.00001435905,0.000004906927,0.000002150814,0.0001892718,0.000005716103,0.001010737],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008362641,"threshold_uncertainty_score":0.01662797,"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."}}