{"id":"W1499844871","doi":"","title":"Services Trade within Canada and the European Union: What to They Have in Common?","year":2004,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Trade in services; European union; Gravity model of trade; Goods and services; Single market; International trade; Bilateral trade; Trade barrier; International economics; International free trade agreement; Product (mathematics); Economic integration; Trade creation; Gravity equation; Business; Customs union; Free trade; Trade diversion; Economics; Geography; Economy; China","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.006940424,0.0004572298,0.001152563,0.0005010896,0.0001867809,0.0009018398,0.001439031,0.0002925623,0.00002775108],"category_scores_gemma":[0.00008556231,0.0004741734,0.0001420962,0.0001188637,0.0002689503,0.0003255301,0.001384689,0.001820696,0.00002907416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00215641,"about_ca_system_score_gemma":0.0004472699,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4273821,"about_ca_topic_score_gemma":0.9324647,"domain_scores_codex":[0.9956267,0.0004568289,0.001611957,0.001277105,0.00008723339,0.0009401658],"domain_scores_gemma":[0.9976351,0.0003264855,0.0004437456,0.001260074,0.0000201307,0.0003144139],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0004620687,0.0004220019,0.322372,0.001020824,0.0005078337,0.0003656197,0.02450788,0.4756499,0.000002229459,0.0979229,0.0001659813,0.07660076],"study_design_scores_gemma":[0.0117142,0.0002483019,0.5645556,0.002335964,0.00002642359,0.00009509362,0.02716812,0.03028461,0.00003419733,0.2540932,0.1056976,0.003746615],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8943834,0.001547808,0.000001358839,0.008314965,0.0009374971,0.001212958,0.00026844,0.00002029593,0.09331325],"genre_scores_gemma":[0.9834771,0.01446541,0.0001029405,0.001240027,0.0001902335,0.0001105123,0.00005793195,0.00008583032,0.0002700758],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5050825,"threshold_uncertainty_score":0.999771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04124420569013331,"score_gpt":0.2505145226203594,"score_spread":0.2092703169302261,"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."}}