{"id":"W4225376248","doi":"10.1080/21645698.2022.2068336","title":"Biotechnology in China – regulation, investment, and delayed commercialization","year":2022,"lang":"en","type":"article","venue":"GM crops & food","topic":"Genetically Modified Organisms Research","field":"Agricultural and Biological Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Commercialization; China; Clearance; Investment (military); Biotechnology; Business; Agricultural biotechnology; Agriculture; Productivity; Economics; Economic growth; Political science; Biology; Marketing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001777677,0.00006641961,0.00008246386,0.00003108882,0.0002548767,0.00002805852,0.0001672937,0.00006298666,0.0005488709],"category_scores_gemma":[0.00004232275,0.00003296718,0.00001384919,0.000533347,0.00007468185,0.00003109498,0.000274779,0.0001353386,0.000006133562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003818603,"about_ca_system_score_gemma":0.000008382901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004420922,"about_ca_topic_score_gemma":0.001486359,"domain_scores_codex":[0.9991763,0.0001236316,0.0001315571,0.0002113148,0.0001646512,0.0001925437],"domain_scores_gemma":[0.9998226,0.00003278779,0.00003050836,0.0000539531,0.00001623049,0.00004395033],"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":[0.00007768725,0.0002624775,0.02090828,0.000006185167,0.00001825343,0.000006310242,0.0005378596,0.0001602108,0.8523625,0.05066665,0.001493837,0.07349979],"study_design_scores_gemma":[0.0002477205,0.001045466,0.9540082,0.000001633584,0.000003342847,0.00001310438,0.0002694255,0.0003135961,0.01171351,0.01196329,0.02028997,0.0001306872],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921454,0.0001384301,0.00002041433,0.006968027,0.00002603743,0.0001994849,0.0000188025,0.00004096306,0.0004424835],"genre_scores_gemma":[0.9993936,0.00002733422,0.000109112,0.0002867219,0.00002075482,0.00002073482,0.00006591978,0.000001004565,0.00007476765],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9331,"threshold_uncertainty_score":0.6009752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01749241176440145,"score_gpt":0.2203346258518541,"score_spread":0.2028422140874526,"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."}}