{"id":"W4384196674","doi":"10.1515/9780773568815-037","title":"Ten-Year Figures for Canada-U.S. and Canada-Mexico Trade","year":2000,"lang":"en","type":"book-chapter","venue":"McGill-Queen's University Press eBooks","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Geography; Fur trade; International trade; History; Economic history; Economics","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":[0.0004717881,0.0006321528,0.0003137403,0.009779267,0.001881679,0.002469481,0.0006853268,0.00067721,0.02300084],"category_scores_gemma":[0.001635766,0.0001700495,0.000467324,0.01254989,0.0003544502,0.001019501,0.0006121522,0.001298537,0.004012408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01747165,"about_ca_system_score_gemma":0.02010183,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8910608,"about_ca_topic_score_gemma":0.9577127,"domain_scores_codex":[0.9994349,0.00001310111,0.00002379051,0.00004128219,0.0002757994,0.0002110425],"domain_scores_gemma":[0.9981406,0.00007549376,0.0001489291,0.0000405876,0.001314673,0.000279728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001893427,0.00003765308,0.02275979,0.0003302113,0.00006161971,0.0001893544,0.0008185875,0.000909464,0.000268387,0.04428335,0.8467721,0.08338016],"study_design_scores_gemma":[0.000009971213,0.00001145842,0.09549382,0.0001622036,0.00002665678,0.0001055823,0.0005918032,0.0003749507,0.000285313,0.001088084,0.901827,0.00002305074],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.07572326,0.03804969,0.00151484,0.01145125,0.005153548,0.0001412105,0.3700757,0.001344245,0.4965463],"genre_scores_gemma":[0.1968642,0.03161103,0.002276773,0.001114974,0.0005422987,0.0001621363,0.1832697,0.0003504955,0.5838084],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1089392,"threshold_uncertainty_score":0.2191616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02135017100710072,"score_gpt":0.1622325995639887,"score_spread":0.140882428556888,"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."}}