{"id":"W2565550158","doi":"10.1111/cjag.12130","title":"The Impact of Local Ethanol Production on the Corn Basis in Ontario","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Guelph","funders":"Ontario Ministry of Food and Agriculture; Social Sciences and Humanities Research Council of Canada; Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Livestock; Economics; Error correction model; Agricultural economics; Production (economics); Ethanol fuel; Bushel; Agricultural science; Geography; Forestry; Biofuel; Cointegration; Biotechnology; Environmental science; Econometrics; Biology; Microeconomics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.0003556142,0.0001881417,0.0002100605,0.0002690253,0.0006032159,0.0008479455,0.0003792737,0.0001727349,0.002541017],"category_scores_gemma":[0.001499542,0.0001691833,0.0004051565,0.0007381295,0.0005381961,0.0002623459,0.0005847237,0.0002439331,0.0001854887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01283949,"about_ca_system_score_gemma":0.01010131,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9752144,"about_ca_topic_score_gemma":0.9902174,"domain_scores_codex":[0.999607,0.0000760957,0.00001502928,0.0000509761,0.0001115314,0.0001393507],"domain_scores_gemma":[0.9987684,0.0002845367,0.0003482803,0.00005849792,0.0003606825,0.0001796102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000137552,0.00002609655,0.9742334,0.00006790784,0.0001083676,0.0003625359,0.001141065,0.01221783,0.001600609,0.0008427022,0.0008877709,0.008374231],"study_design_scores_gemma":[0.000007622269,0.00003880818,0.9889973,0.00001953245,0.00004073044,0.00003318506,0.001721524,0.005195117,0.0003095154,0.0001087445,0.003514369,0.00001347317],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940296,0.0002023172,0.0005593408,0.0002415834,0.000005960031,0.0000154687,0.001410881,0.00001425348,0.003520578],"genre_scores_gemma":[0.9960514,0.000218551,0.000208248,0.00002099703,0.000002221366,0.000006440021,0.0004837574,0.000004716987,0.003003752],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02478558,"threshold_uncertainty_score":0.09315747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0193450107511287,"score_gpt":0.1692378900684903,"score_spread":0.1498928793173616,"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."}}