{"id":"W1520510510","doi":"","title":"Trends in Canada's Merchandise Trade","year":2000,"lang":"en","type":"article","venue":"Bank of Canada review","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economics; Competition (biology); International trade; International economics; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0006673631,0.000281379,0.0002514808,0.008037479,0.001726148,0.004044855,0.0004989942,0.0004154888,0.003537664],"category_scores_gemma":[0.00227572,0.0001512271,0.0003266067,0.01931856,0.0008355586,0.0005955762,0.0004605598,0.0006976294,0.0003193193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04900213,"about_ca_system_score_gemma":0.04573074,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9885925,"about_ca_topic_score_gemma":0.9912422,"domain_scores_codex":[0.9990065,0.00002591913,0.00003912075,0.00009586043,0.0006459827,0.0001868288],"domain_scores_gemma":[0.9958033,0.0002262795,0.0003374965,0.00003938773,0.003301585,0.0002920727],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005187689,0.0000763658,0.2964177,0.003329396,0.0004250853,0.001734144,0.007920205,0.005051955,0.003173146,0.08016645,0.2067491,0.3944378],"study_design_scores_gemma":[0.00001345063,0.00003456853,0.4854814,0.0006210923,0.0001323632,0.0004171215,0.003114872,0.0008679359,0.001142262,0.001282457,0.506831,0.00006140443],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4384513,0.2486907,0.001029918,0.03303649,0.0006519532,0.00008580701,0.03000766,0.0002581706,0.2477881],"genre_scores_gemma":[0.8162908,0.1310791,0.001141483,0.00195119,0.0001567011,0.00001629214,0.008464004,0.00005965092,0.04084091],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04900213,"threshold_uncertainty_score":0.355537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03798251029700023,"score_gpt":0.1969564102736762,"score_spread":0.158973899976676,"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."}}