{"id":"W6907580715","doi":"10.22004/ag.econ.349017","title":"Cross Hedging Winter Canola","year":2015,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Canola; Futures contract; Hedge; Soybean meal; Price risk; Agribusiness","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":[0.0008534612,0.000271478,0.0002385251,0.0007075361,0.0002147444,0.0008936219,0.0002915729,0.0002333189,0.001981446],"category_scores_gemma":[0.001540437,0.00008869543,0.0002219435,0.0004584604,0.0001140495,0.0006978419,0.0005041403,0.000222605,0.0001977915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007277553,"about_ca_system_score_gemma":0.0002792828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009312103,"about_ca_topic_score_gemma":0.01898836,"domain_scores_codex":[0.9997786,0.00002767534,0.00001106463,0.00004712671,0.0001097925,0.00002581988],"domain_scores_gemma":[0.9996204,0.000115219,0.00005418089,0.00004534895,0.0001326104,0.00003206541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002172366,0.0007008176,0.3499069,0.0002103225,0.0006826117,0.0009418814,0.0003764233,0.2116871,0.04681693,0.01180401,0.005397334,0.3693034],"study_design_scores_gemma":[0.0001034797,0.001270081,0.4291432,0.0000499156,0.0003243814,0.000531645,0.0006417651,0.5176324,0.03021828,0.008062468,0.01192927,0.00009316954],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914801,0.0003392703,0.001787219,0.00006884075,0.00001530899,0.00001151071,0.0001961448,0.00004495864,0.006056534],"genre_scores_gemma":[0.9973978,0.00008680536,0.0009533023,0.0000170353,0.000005404632,0.000002114612,0.0001988868,0.00000670004,0.001332188],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009312103,"threshold_uncertainty_score":0.01851577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05934535539578793,"score_gpt":0.2453154097589147,"score_spread":0.1859700543631268,"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."}}