{"id":"W2568614430","doi":"10.1002/fes3.100","title":"Genetically modified crops, regulatory delays, and international trade","year":2017,"lang":"en","type":"article","venue":"Food and Energy Security","topic":"Genetically Modified Organisms Research","field":"Agricultural and Biological Sciences","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Business; Commodity; Government (linguistics); Misinformation; Food security; Economic impact analysis; Genetically modified food; Developing country; Agricultural biotechnology; International trade; Natural resource economics; Agriculture; Genetically modified organism; Economics; Economic growth; Political science; Finance","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":[0.00703593,0.0002384924,0.0002086647,0.001453262,0.001776502,0.007144351,0.0008218493,0.00256478,0.01166526],"category_scores_gemma":[0.02534047,0.0001379595,0.0003532513,0.002118257,0.004619082,0.004776652,0.002668354,0.003573257,0.0004695282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00591791,"about_ca_system_score_gemma":0.004793188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006182234,"about_ca_topic_score_gemma":0.005292747,"domain_scores_codex":[0.9945074,0.001597517,0.0002378432,0.0006958578,0.002191131,0.0007702867],"domain_scores_gemma":[0.9483041,0.02839238,0.01606873,0.001408089,0.004349997,0.001476694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0003318617,0.0001948512,0.03234079,0.0005927093,0.00006948681,0.0007586722,0.004142396,0.003369773,0.001473879,0.832607,0.02398696,0.1001316],"study_design_scores_gemma":[0.00007862783,0.0005980569,0.09572171,0.002608217,0.0001566035,0.001331567,0.0219717,0.002869545,0.005026905,0.2864793,0.5829694,0.0001882999],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3611476,0.03701472,0.008393073,0.07366077,0.001600446,0.00009589042,0.0005991312,0.00009574093,0.5173928],"genre_scores_gemma":[0.9761222,0.007118849,0.0007901636,0.004969868,0.0004439411,0.00002967276,0.0001024973,0.00002388789,0.01039905],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01166526,"threshold_uncertainty_score":0.04293764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02756402019658923,"score_gpt":0.2385861710302801,"score_spread":0.2110221508336908,"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."}}