{"id":"W2111196782","doi":"","title":"MARKET POWER OF THE JAPANESE NON-GM SOYBEAN IMPORT MARKET","year":2008,"lang":"en","type":"dissertation","venue":"K-State Research Exchange (Kansas State University)","topic":"Economics of Agriculture and Food Markets","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Livestock; Partial equilibrium; Residual; Soybean meal; Soybean oil; Market power; China; Economics; Consumption (sociology); Agricultural economics; Supply and demand; Chinese market; Agricultural science; Business; Food science; Microeconomics; General equilibrium theory; Chemistry; Mathematics; Geography; Environmental science; Forestry","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":[0.001099948,0.0002189486,0.0003840108,0.0006823468,0.0002936501,0.001804858,0.0003179477,0.0003432308,0.003693155],"category_scores_gemma":[0.003493262,0.0002419805,0.0005865356,0.0006504649,0.0005964567,0.00157598,0.0005811753,0.0005063692,0.0002810005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008903328,"about_ca_system_score_gemma":0.0004519954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01550214,"about_ca_topic_score_gemma":0.01298279,"domain_scores_codex":[0.9996394,0.00009450306,0.00002663868,0.00008987015,0.00007208939,0.00007737819],"domain_scores_gemma":[0.9980206,0.0008285089,0.0006203262,0.0001255545,0.0002624538,0.0001424682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001028903,0.0003766025,0.8899157,0.0001899491,0.0004233836,0.001738616,0.003314295,0.0271102,0.008099969,0.03337441,0.002294503,0.03213336],"study_design_scores_gemma":[0.0001326805,0.0003795282,0.8544385,0.00002573227,0.0002362143,0.0003157871,0.004336625,0.1245589,0.002548845,0.009415105,0.003530476,0.00008163953],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957075,0.00006405979,0.0004859602,0.00009405256,0.00000190837,0.000008134089,0.0001184339,0.000005650849,0.003514235],"genre_scores_gemma":[0.9990348,0.00004043666,0.0001087317,0.00001382715,0.000003395387,0.000003235424,0.0001839301,0.000001902552,0.0006097411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01550214,"threshold_uncertainty_score":0.03082383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03010526826761167,"score_gpt":0.2341402049140948,"score_spread":0.2040349366464832,"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."}}