{"id":"W3126970674","doi":"10.26443/firr.v11i1.58","title":"Impact of Trumpian Trade on Canadian Agriculture: Evidence from Commodity Analyses","year":2021,"lang":"en","type":"article","venue":"Flux International Relations Review","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Agriculture; Commodity; International trade; Trade war; Economics; Business; Economy; International economics; Market economy; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001672478,0.000122024,0.0003719848,0.0001186343,0.00006110167,0.00004035915,0.0002688776,0.00007366644,0.03832515],"category_scores_gemma":[0.0005911606,0.0001193617,0.0003707911,0.0002830907,0.00002258168,0.0002531257,0.00002134199,0.0001487905,0.005540039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004916488,"about_ca_system_score_gemma":0.0001308639,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01915759,"about_ca_topic_score_gemma":0.007990156,"domain_scores_codex":[0.9988758,0.000026545,0.0006351486,0.0002723917,0.00004911473,0.0001409884],"domain_scores_gemma":[0.9991102,0.0001306888,0.0002826945,0.0002851914,0.00005903753,0.0001321866],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00000862361,0.0002187914,0.2380047,0.00009289275,0.001017423,0.00001782346,0.0001164465,0.005383349,0.00005888026,0.1034539,0.6498697,0.001757506],"study_design_scores_gemma":[0.0002150998,0.00004249332,0.734336,0.00125209,0.00005406509,0.000009953915,0.000008859963,0.001447872,0.00007055946,0.006893827,0.2554184,0.0002507907],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2714746,0.1557385,0.0005063887,0.02279953,0.001319412,0.0004871362,0.009422205,0.00003826951,0.538214],"genre_scores_gemma":[0.9850963,0.004639438,0.0002968329,0.0008074992,0.0001000015,0.000007955735,0.0009372408,0.000009236916,0.008105539],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7136217,"threshold_uncertainty_score":0.9952343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.191412447859386,"score_gpt":0.3371157457859201,"score_spread":0.1457032979265341,"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."}}