{"id":"W2273580361","doi":"","title":"Comparative analysis of agricultural and livestock commerce of three countries (México, China and Canada), with the United States of America (1990-2011)","year":2015,"lang":"en","type":"article","venue":"","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Livestock; China; Agriculture; Agricultural economics; Geography; International trade; Business; Environmental protection; Forestry; 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":[0.0004563862,0.0002331416,0.0002865966,0.003187849,0.001026149,0.002222389,0.0004562068,0.0005136169,0.002902232],"category_scores_gemma":[0.001709384,0.0001784165,0.0006170875,0.008946901,0.0006361576,0.0008770328,0.0007494868,0.0006085946,0.000169141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006633605,"about_ca_system_score_gemma":0.00483738,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8262256,"about_ca_topic_score_gemma":0.915944,"domain_scores_codex":[0.9996692,0.0000424428,0.0000210738,0.00005568704,0.00008020425,0.0001313371],"domain_scores_gemma":[0.9978015,0.0003171789,0.0006993035,0.00005312768,0.0008026873,0.000326209],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002183134,0.00006717099,0.9830383,0.0001118926,0.0002960791,0.0005292286,0.0009528364,0.0009678566,0.000242349,0.002668379,0.003560381,0.007347097],"study_design_scores_gemma":[0.000005217784,0.0000164268,0.9951169,0.00003517572,0.00006912959,0.00008807371,0.001473676,0.0002529651,0.00007154002,0.00004717853,0.002817956,0.000005596819],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9865128,0.003878085,0.00004783898,0.0006065883,0.00001382439,0.000009900426,0.004428028,0.000005999377,0.004496814],"genre_scores_gemma":[0.9900146,0.002266761,0.0001064384,0.00006652044,0.00001733272,0.0000074189,0.004945667,0.000002839241,0.002572514],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1737744,"threshold_uncertainty_score":0.3495955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04327914894419731,"score_gpt":0.2061285837134703,"score_spread":0.162849434769273,"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."}}