{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003086382,0.000138472,0.0002180393,0.0001697434,0.00003586398,0.00002425878,0.0005606613,0.0005220842,0.00111695],"category_scores_gemma":[0.00004900588,0.00006169529,0.00003350035,0.001351528,0.0001148856,0.00005833541,0.0002176309,0.0005136516,0.00009212733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004713178,"about_ca_system_score_gemma":0.000006796851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001197395,"about_ca_topic_score_gemma":0.00517044,"domain_scores_codex":[0.9984551,0.0000810445,0.0002647534,0.0005035513,0.0001503373,0.0005451779],"domain_scores_gemma":[0.9996774,0.00003788748,0.0000465074,0.0001684751,0.0000127913,0.00005700372],"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":[0.00001427394,0.00009515775,0.01667838,0.000001416106,0.000001626698,0.00001109777,0.00003401887,0.000008362914,0.6824102,0.0006752395,0.00001466957,0.3000556],"study_design_scores_gemma":[0.0003453807,0.0004781006,0.9436355,0.000007198483,0.000001060437,0.00001027234,0.0001336112,0.001171207,0.05154638,0.001168608,0.001300914,0.0002017424],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914852,0.00004491334,0.000002317007,0.006457012,0.00005114232,0.0001326479,0.000005993173,0.0001353686,0.00168543],"genre_scores_gemma":[0.9990153,0.0000185442,0.0004761174,0.00006390511,0.00002653926,0.0000102369,0.00004162027,0.000001914446,0.0003457878],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9269571,"threshold_uncertainty_score":0.9997962,"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."}}