{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000116783,0.0001086682,0.0001103795,0.00000832998,0.0004164143,0.0002443453,0.0003303394,0.0001179262,0.00008188043],"category_scores_gemma":[0.00004563824,0.00004954317,0.00003076536,0.00002279281,0.000249292,0.00008079092,0.0002856953,0.00009808117,0.000001329682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007960305,"about_ca_system_score_gemma":0.00000674369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002060151,"about_ca_topic_score_gemma":0.0008011569,"domain_scores_codex":[0.999124,0.00003677098,0.0001185971,0.0003040876,0.000189434,0.0002271188],"domain_scores_gemma":[0.9995984,0.00003971691,0.00003973739,0.0001078446,0.00001938251,0.0001949187],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001345649,0.0002244465,0.006666963,0.00001592191,0.0001088623,0.00001817835,0.0002458987,0.000007563189,0.2803909,0.1546396,0.00151614,0.5560309],"study_design_scores_gemma":[0.0003872394,0.0005141567,0.9131047,0.00001102646,0.00001121915,0.00002935387,0.00005782602,0.001197854,0.01059488,0.03483339,0.03895577,0.0003025918],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891565,0.0004132544,0.000009601354,0.00615998,0.00009157944,0.000029487,0.00003416406,0.00002388984,0.004081477],"genre_scores_gemma":[0.9989109,0.0004036436,0.00009321902,0.0001844209,0.0002264369,0.000005327726,0.00001528992,0.000001267982,0.0001595124],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9064378,"threshold_uncertainty_score":0.3202764,"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."}}