{"id":"W7096525265","doi":"","title":"LOOKING TO THE FUTURE: CONFLICT AVOIDANCE AND RESOLUTION IN NAFTA'S AGRICULTURAL TRADE","year":2014,"lang":"en","type":"article","venue":"","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Resolution (logic); Conflict resolution; Trade barrier; Conflict avoidance; Agricultural productivity","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":[0.01086898,0.0002531074,0.0003144475,0.001700348,0.03331102,0.01497436,0.00153865,0.004440048,0.005619706],"category_scores_gemma":[0.01058589,0.0002654522,0.000318329,0.002440591,0.02415588,0.005720358,0.005766069,0.004814066,0.0002336089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03139094,"about_ca_system_score_gemma":0.03789856,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3702787,"about_ca_topic_score_gemma":0.5538602,"domain_scores_codex":[0.9926221,0.004521032,0.0001135085,0.0003265962,0.0007528521,0.001663983],"domain_scores_gemma":[0.9955383,0.001570279,0.0006182158,0.0001065067,0.0006472171,0.001519487],"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":[0.00009827016,0.0001426536,0.01314584,0.0001751337,0.00006139358,0.001418389,0.3074786,0.001741812,0.0003230104,0.576691,0.0387094,0.0600144],"study_design_scores_gemma":[0.00005136466,0.00006016688,0.01861566,0.0004067519,0.00002528642,0.0002362183,0.4931615,0.001729193,0.0001931208,0.2411082,0.2443406,0.00007192748],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2963823,0.008385606,0.004971662,0.2750008,0.000493801,0.000113433,0.00009835341,0.00002958946,0.4145246],"genre_scores_gemma":[0.9885716,0.001202104,0.0009706085,0.003700523,0.00006854893,0.00003012345,0.00001936894,0.00000752055,0.005429601],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6297213,"threshold_uncertainty_score":0.7362468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03952152416129039,"score_gpt":0.3107587924057189,"score_spread":0.2712372682444285,"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."}}