{"id":"W2008811356","doi":"10.1080/17487870.2012.717001","title":"Quantifying opportunities and threats: examining the Canada–EU trade negotiations","year":2012,"lang":"en","type":"article","venue":"Journal of Economic Policy Reform","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Institute for Applied Systems Analysis; Department for Environment, Food and Rural Affairs, UK Government","keywords":"Tariff; Negotiation; International economics; Liberalization; International trade; Business; Trade diversion; Baseline (sea); Trade barrier; Economics; International free trade agreement; Political science; Market economy","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":[0.001653095,0.000389292,0.0004654455,0.002109266,0.002387039,0.005134393,0.0006999979,0.001133454,0.003321253],"category_scores_gemma":[0.003326179,0.0001879922,0.0005739467,0.004181051,0.001330637,0.00147195,0.001590685,0.001301662,0.0001583054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02652366,"about_ca_system_score_gemma":0.01797627,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8877698,"about_ca_topic_score_gemma":0.9262165,"domain_scores_codex":[0.9982688,0.0002156748,0.00003114209,0.0001021807,0.0007008515,0.0006813229],"domain_scores_gemma":[0.9985327,0.000468301,0.0002275882,0.00004764984,0.0005133967,0.0002103867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001424986,0.0003275607,0.1821187,0.0005191636,0.0005198086,0.003689118,0.003298319,0.4847417,0.003994261,0.2413744,0.01332762,0.06466432],"study_design_scores_gemma":[0.0002117805,0.0006096181,0.5430971,0.0004244668,0.0003835785,0.0005953175,0.04482581,0.2119244,0.005799607,0.04961957,0.1421073,0.0004013764],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9009286,0.001598469,0.001417572,0.001613442,0.00003960671,0.00007752043,0.001718834,0.00001900017,0.09258695],"genre_scores_gemma":[0.9932262,0.0008349883,0.0008206369,0.0001644607,0.000009539649,0.00001573821,0.0006346146,0.000009400559,0.004284397],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1122302,"threshold_uncertainty_score":0.2257822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3052726431110819,"score_gpt":0.2895126091061715,"score_spread":0.01576003400491044,"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."}}