{"id":"W2964054159","doi":"10.5089/9781498326650.001","title":"Internal Trade in Canada","year":2019,"lang":"en","type":"article","venue":"IMF Working Paper","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Innovation, Science and Economic Development Canada","keywords":"Trade barrier; Free trade; Scope (computer science); International economics; International trade; Productivity; Work (physics); Economics; Per capita; Liberalization; Economic integration; Business; Economic growth; Market economy","routes":{"ca_aff":false,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0001050068,0.00004228934,0.00006672538,0.00001764739,0.00004722374,0.00002340527,0.0001525462,0.00002664924,0.0006677761],"category_scores_gemma":[0.00002965904,0.00004521148,0.00001863401,0.0001356054,0.0000233497,0.00005902235,0.000009451572,0.0001070292,0.00003585195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006273772,"about_ca_system_score_gemma":0.001064387,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9990969,"about_ca_topic_score_gemma":0.9999161,"domain_scores_codex":[0.9993578,0.0000330842,0.00008088358,0.00009858306,0.0001723737,0.0002572827],"domain_scores_gemma":[0.999759,0.00006008819,0.00002765653,0.00007835606,0.000002294259,0.000072578],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001806252,0.00001226575,0.7711827,0.000006946628,0.00001215175,0.00007988371,0.01257644,0.00007713851,0.0001495473,0.04583081,0.1189895,0.05106461],"study_design_scores_gemma":[0.00008623604,0.000001541993,0.175913,0.00003721097,5.415197e-7,4.850156e-7,0.0003062797,0.000005088825,0.000007891139,0.0001643019,0.8234187,0.00005868285],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6768046,0.0001887048,7.35581e-7,0.0256977,0.0009379705,0.0001008672,0.000008049131,0.00001038602,0.296251],"genre_scores_gemma":[0.9859001,0.00001978882,0.000008074843,0.006715958,0.000191742,0.000001842734,2.356259e-7,0.000004529766,0.007157741],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7044293,"threshold_uncertainty_score":0.731168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01237961037097741,"score_gpt":0.2430840475933598,"score_spread":0.2307044372223824,"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."}}