{"id":"W2587864889","doi":"10.5539/ijef.v9n3p115","title":"Dynamics of Canadian Trade Pattern: A Time-Series Analysis","year":2017,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Athabasca University","funders":"","keywords":"Autoregressive integrated moving average; Autoregressive model; Econometrics; Economics; Growth rate; Time series; Annual growth %; Series (stratigraphy); Short run; Statistics; Macroeconomics; Mathematics; Agricultural economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004347911,0.0002417778,0.0002656225,0.003582133,0.0008926437,0.001313964,0.0004636134,0.0002645731,0.002825395],"category_scores_gemma":[0.002096448,0.000140612,0.000515433,0.008602211,0.0002602529,0.0004048173,0.0003462305,0.0003232873,0.000274667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01179256,"about_ca_system_score_gemma":0.01013975,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9831789,"about_ca_topic_score_gemma":0.9812061,"domain_scores_codex":[0.999683,0.00001717234,0.00001519857,0.00005197833,0.000158091,0.00007450076],"domain_scores_gemma":[0.9989034,0.0001075957,0.0001281955,0.00003476997,0.0007384063,0.00008761215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001373291,0.00004333699,0.9239576,0.0001048177,0.0002143765,0.0004940475,0.001089209,0.01901982,0.001083335,0.004899012,0.008501592,0.04045553],"study_design_scores_gemma":[0.0000038364,0.00001579699,0.9616978,0.00002386669,0.00004173328,0.00007352609,0.0008917308,0.02904552,0.0001587514,0.0002109546,0.007806051,0.00003045426],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9780754,0.0005645395,0.0008886362,0.0004766565,0.0000168448,0.00002850017,0.01205452,0.00005242734,0.007842502],"genre_scores_gemma":[0.9860806,0.0006181256,0.0009745947,0.00003167431,0.000006638783,0.00001596258,0.008827489,0.00001212824,0.003432677],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01682115,"threshold_uncertainty_score":0.08556139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02809171523256551,"score_gpt":0.2060942620956459,"score_spread":0.1780025468630804,"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."}}