{"id":"W2925359939","doi":"10.1016/j.tibtech.2019.02.004","title":"Getting an Imported GM Crop Approved in China","year":2019,"lang":"en","type":"article","venue":"Trends in biotechnology","topic":"Genetically Modified Organisms Research","field":"Agricultural and Biological Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Crop; Genetically modified organism; Food security; Biotechnology; Genetically modified crops; Agricultural economics; Agricultural science; Business; Biology; Political science; Agriculture; Agronomy; Economics; Gene; Law; Transgene","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":[0.009269147,0.0004547022,0.0003321987,0.00275283,0.00180153,0.002521339,0.0007821553,0.001538844,0.009754534],"category_scores_gemma":[0.01053261,0.0002904459,0.0008165766,0.002740945,0.00139597,0.002813143,0.00191454,0.001194411,0.002311189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004801201,"about_ca_system_score_gemma":0.01337265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01959615,"about_ca_topic_score_gemma":0.01676434,"domain_scores_codex":[0.9943039,0.0008467248,0.0006928531,0.0005442132,0.002989155,0.0006232099],"domain_scores_gemma":[0.9912879,0.001205816,0.001378759,0.0007108144,0.004717615,0.0006991111],"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":[0.0009152995,0.0003458693,0.06903573,0.004286558,0.0001435315,0.005181639,0.008112646,0.001370395,0.05250512,0.04734764,0.1003171,0.7104386],"study_design_scores_gemma":[0.0001041153,0.0008827526,0.1317557,0.001310459,0.0001360393,0.001394083,0.002597488,0.001407838,0.02624799,0.004417599,0.8295285,0.0002175675],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4905895,0.03138768,0.03560792,0.03748762,0.00393807,0.004845083,0.008940584,0.001940349,0.3852633],"genre_scores_gemma":[0.7475641,0.02840097,0.04882791,0.01689844,0.0008761009,0.001783046,0.01440204,0.0005763394,0.1406711],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01959615,"threshold_uncertainty_score":0.04902053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02103302863585986,"score_gpt":0.2651339391840152,"score_spread":0.2441009105481553,"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."}}