{"id":"W2167778600","doi":"","title":"Issues on Adoption, Import Regulations, and Policies for Biotech Commodities in China with a Focus on Soybeans","year":2003,"lang":"en","type":"article","venue":"MOspace Institutional Repository (University of Missouri)","topic":"Genetically Modified Organisms Research","field":"Agricultural and Biological Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Agriculture; Agricultural biotechnology; European union; Commodity; Biotechnology; Business; Rapeseed; Agricultural science; Agricultural economics; International trade; Political science; Economics; Biology; Agronomy; Law","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":[0.007782116,0.0004172766,0.0003007367,0.001706585,0.003172212,0.003356507,0.001264229,0.001902682,0.002240475],"category_scores_gemma":[0.006657506,0.0003381654,0.0005161778,0.002942105,0.002360813,0.002321072,0.001886333,0.001480843,0.0001433596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01187688,"about_ca_system_score_gemma":0.03288204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1557261,"about_ca_topic_score_gemma":0.1323511,"domain_scores_codex":[0.9958598,0.0005596261,0.0004420358,0.0003865103,0.001705637,0.00104646],"domain_scores_gemma":[0.9951648,0.001507818,0.001057583,0.0002458637,0.001346153,0.0006777666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000520142,0.0004619163,0.4155325,0.001993326,0.0001726303,0.007670905,0.0322311,0.004333077,0.0173324,0.2383867,0.05686958,0.2244958],"study_design_scores_gemma":[0.0001236891,0.0004872181,0.65092,0.001091281,0.0001292517,0.001270919,0.02047344,0.004681537,0.006034496,0.01408384,0.3004084,0.0002958713],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8216072,0.01636996,0.001878567,0.07320792,0.0004679852,0.0002779099,0.000774416,0.0001498355,0.08526625],"genre_scores_gemma":[0.9548245,0.008120439,0.001945464,0.01770054,0.0001501264,0.0001436154,0.0005816465,0.00002447797,0.01650919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1557261,"threshold_uncertainty_score":0.3096393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01583408274243456,"score_gpt":0.208371378086518,"score_spread":0.1925372953440834,"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."}}