{"id":"W7015678380","doi":"","title":"U.S.-Canada WTO Corn Trade Dispute","year":2007,"lang":"en","type":"report","venue":"University of North Texas Digital Library (University of North Texas)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subsidy; Duty; Commodity; Government (linguistics); Tribunal; Free trade; Dispute resolution; Dumping; Settlement (finance)","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":[0.002758967,0.0004744878,0.0004766808,0.001576725,0.0165354,0.01137066,0.002723317,0.01254777,0.01332305],"category_scores_gemma":[0.008529353,0.0005258106,0.0008355018,0.003002367,0.002691793,0.001491398,0.0030874,0.008319153,0.001554759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05875096,"about_ca_system_score_gemma":0.1556558,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9569169,"about_ca_topic_score_gemma":0.9757118,"domain_scores_codex":[0.9917445,0.0002999155,0.0002379931,0.0006786432,0.004686357,0.002352618],"domain_scores_gemma":[0.9959137,0.0006692221,0.0001625464,0.0002028013,0.002370221,0.0006816077],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008914535,0.00006676493,0.00402707,0.00008849548,0.00003105103,0.001459401,0.002645044,0.0006183035,0.001084601,0.5472971,0.4200937,0.02249937],"study_design_scores_gemma":[0.00002741104,0.00001520634,0.004024245,0.0001281279,0.00003319534,0.0002601325,0.001407211,0.0009187374,0.0007432241,0.01018559,0.9821948,0.00006197768],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02840723,0.003372756,0.002074036,0.08817323,0.00161587,0.0002613728,0.002842321,0.000149183,0.873104],"genre_scores_gemma":[0.3271904,0.00432278,0.004372548,0.1286929,0.0003415378,0.0002689093,0.001975259,0.0001521836,0.5326835],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05875096,"threshold_uncertainty_score":0.42627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0160700596725787,"score_gpt":0.1821308082808018,"score_spread":0.1660607486082231,"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."}}