{"id":"W2889115517","doi":"10.1111/cjag.12185","title":"Impact of the Chinese embargo against MIR162 corn on Canadian corn producers","year":2018,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Arizona State University","keywords":"Bushel; Revenue; China; Agricultural economics; Agricultural science; Agronomy; Biology; Economics; Geography; Acre","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0008334253,0.000247611,0.0001790109,0.0008008448,0.002025564,0.001121912,0.0005707491,0.0004676433,0.004091035],"category_scores_gemma":[0.003315746,0.0001184518,0.0003144706,0.001222788,0.0007011928,0.0003687086,0.0006384538,0.0006839038,0.0001362824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03214894,"about_ca_system_score_gemma":0.0301026,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9794285,"about_ca_topic_score_gemma":0.9856882,"domain_scores_codex":[0.9992059,0.00004853623,0.00001863755,0.00006429921,0.0003794824,0.0002832053],"domain_scores_gemma":[0.997624,0.0002580743,0.0005058477,0.00008176824,0.001096524,0.0004338748],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002541539,0.0002723186,0.7034124,0.0003230541,0.0004280433,0.0048669,0.004585337,0.008703168,0.01539611,0.04334524,0.1149352,0.1011907],"study_design_scores_gemma":[0.00008263536,0.0001896873,0.9086547,0.00006206031,0.0001735881,0.0001720598,0.00332522,0.004154946,0.002520887,0.0007136177,0.07986545,0.00008511129],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9478481,0.0008632892,0.000227122,0.006847861,0.00005264877,0.00004266683,0.003507138,0.00004601599,0.04056515],"genre_scores_gemma":[0.9898128,0.0005559756,0.0001382316,0.0006485248,0.00001379177,0.000008255171,0.00103481,0.000006081353,0.007781527],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03214894,"threshold_uncertainty_score":0.233258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0320960554122697,"score_gpt":0.1791357882363853,"score_spread":0.1470397328241156,"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."}}