{"id":"W4284971824","doi":"10.1002/fes3.409","title":"The political economy of China's <scp>GMO</scp> commercialization dilemma","year":2022,"lang":"en","type":"article","venue":"Food and Energy Security","topic":"Genetically Modified Organisms Research","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Commercialization; China; Government (linguistics); Dilemma; Biosafety; Politics; Investment (military); Food security; Business; Biotechnology; Economics; Political science; Marketing; Agriculture; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003786105,0.0001801832,0.00029593,0.001292193,0.005594223,0.006391266,0.0007530614,0.003799771,0.004594339],"category_scores_gemma":[0.003619054,0.0002224679,0.0003153254,0.001232907,0.008421427,0.00204472,0.002282348,0.00265615,0.0002078686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01465365,"about_ca_system_score_gemma":0.009246143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03724328,"about_ca_topic_score_gemma":0.02591022,"domain_scores_codex":[0.9978172,0.0005671767,0.00003775832,0.0001905667,0.0004893441,0.0008979796],"domain_scores_gemma":[0.9970142,0.001198992,0.0005726737,0.0001534212,0.0004182884,0.0006425862],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001422969,0.00006371592,0.02017323,0.00007054969,0.00004210128,0.00105754,0.007037555,0.00251219,0.001590957,0.9221534,0.02605652,0.01909998],"study_design_scores_gemma":[0.0003044383,0.0002436212,0.1349452,0.0002032058,0.00008372892,0.000438586,0.02753469,0.02408614,0.003216284,0.4473608,0.3613437,0.0002396647],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6550458,0.001850748,0.001156002,0.1580964,0.0002123198,0.00004329146,0.0001109176,0.00003652943,0.183448],"genre_scores_gemma":[0.9921328,0.000228683,0.00006199519,0.002963531,0.00008230521,0.0000143858,0.00001142541,0.000003837784,0.00450092],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03724328,"threshold_uncertainty_score":0.1063202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01360969413055726,"score_gpt":0.2078580436041077,"score_spread":0.1942483494735505,"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."}}