{"id":"W2970448731","doi":"10.5539/jas.v11n15p14","title":"Market Integration in the International Market of Soybeans: Are GM Soy and Non-GM Soy Markets Integrated?","year":2019,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Genetically Modified Organisms Research","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Chinese Academy of Agricultural Sciences; China Scholarship Council","keywords":"Cointegration; Granger causality; Market integration; Economics; Domestic market; Commodity market; International economics; Monetary economics; International trade; Econometrics; Macroeconomics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002759437,0.0001638916,0.0002518183,0.00007865552,0.0001226308,0.0002781835,0.001412379,0.0000860419,0.0009060187],"category_scores_gemma":[0.0004975651,0.00004579924,0.0000981838,0.001096158,0.0003061978,0.0006201658,0.0001981966,0.0004150275,0.000009053429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001004462,"about_ca_system_score_gemma":0.00005629809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001248948,"about_ca_topic_score_gemma":0.0004671767,"domain_scores_codex":[0.9974221,0.0001704305,0.0005217332,0.0002760175,0.001270859,0.0003388902],"domain_scores_gemma":[0.9983442,0.0003814924,0.0003965476,0.00007764233,0.0006690786,0.0001309861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000121599,0.0001281115,0.04066382,0.000009055134,0.00001096312,0.000008764488,0.0003662409,0.000008156128,0.9320163,0.00006647277,0.005643199,0.0209573],"study_design_scores_gemma":[0.0002097954,0.0002849546,0.9834104,0.0001316815,0.000006093184,0.0001203512,0.006054344,0.0002288279,0.008806357,0.0001625166,0.0004691979,0.000115529],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891717,0.00007982965,0.000006608989,0.005428961,0.0002650828,0.0002473611,0.0000126014,0.000004414099,0.004783391],"genre_scores_gemma":[0.9987212,0.0001483696,0.000331288,0.0001367423,0.0001340072,0.000002900807,0.000003029707,8.411679e-7,0.0005216545],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9427465,"threshold_uncertainty_score":0.9920269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01305045135223706,"score_gpt":0.2315507006436024,"score_spread":0.2185002492913654,"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."}}