{"id":"W2105786871","doi":"10.22004/ag.econ.9917","title":"Genetically Modified Food and International Trade: The Case of India, Bangladesh, Indonesia and the Philippines","year":2007,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Genetically Modified Organisms Research","field":"Agricultural and Biological Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"United States Agency for International Development","keywords":"Productivity; Agriculture; Computable general equilibrium; Agricultural economics; Market access; Food security; Agricultural biotechnology; Business; Developing country; Economics; Crop; International trade; Agricultural science; Geography; Economic growth; Agronomy; Environmental science; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.001177736,0.000198568,0.0003530681,0.00007386894,0.0003247106,0.00006772987,0.0009484479,0.000294743,0.0002970699],"category_scores_gemma":[0.00006976981,0.00008683348,0.0001303459,0.0002399927,0.001999927,0.00006319285,0.001667199,0.0006125988,0.000002610936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002255144,"about_ca_system_score_gemma":0.00004629621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001635773,"about_ca_topic_score_gemma":0.00275099,"domain_scores_codex":[0.9982021,0.0003559332,0.0002363964,0.0004566113,0.0004250263,0.0003239177],"domain_scores_gemma":[0.9983599,0.0009937418,0.0001474285,0.0001947258,0.0001416776,0.0001625458],"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":[0.001895609,0.0005848698,0.013953,0.0005014869,0.001222757,0.001034365,0.01233885,0.000137818,0.0679936,0.02362064,0.0006486366,0.8760684],"study_design_scores_gemma":[0.002502089,0.000708525,0.9740763,0.00008384518,0.000154411,0.0005358966,0.01156454,0.002831697,0.002454628,0.003745787,0.0008493802,0.0004929567],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9846438,0.0005676788,0.0000561226,0.01333952,0.00005422017,0.0006034681,0.0002146007,0.000009288715,0.000511331],"genre_scores_gemma":[0.9980639,0.001387603,0.0002483136,0.00005854106,0.00008393274,0.000001431923,0.00003184306,0.000002319639,0.0001220995],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9601232,"threshold_uncertainty_score":0.7368816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04240527778348368,"score_gpt":0.2451974369504103,"score_spread":0.2027921591669266,"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."}}