{"id":"W2114591760","doi":"","title":"The GMO experience in North & South America - where to from here?","year":2003,"lang":"en","type":"article","venue":"","topic":"Genetically Modified Organisms Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agricultural economics; Genetically modified crops; Distribution (mathematics); Geography; Canola; Private sector; Economic impact analysis; Crop; Agricultural science; Agroforestry; Business; Environmental protection; Economic growth; Agronomy; Economics; Biology; Forestry","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008119646,0.00008753085,0.00008493369,0.000004787389,0.0001683188,0.0001055545,0.0004092799,0.00003593298,0.001778276],"category_scores_gemma":[0.0001436222,0.00002419281,0.00002739692,0.0005250956,0.00007659113,0.00002905911,0.00008922687,0.0001036427,0.0005096453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001764829,"about_ca_system_score_gemma":0.000009352098,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00186875,"about_ca_topic_score_gemma":0.02847623,"domain_scores_codex":[0.9988537,0.0001069439,0.000136646,0.0002755883,0.0002600485,0.0003670228],"domain_scores_gemma":[0.9994996,0.0002067646,0.00001500791,0.00009165457,0.0000333677,0.0001536064],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005770639,0.0001564033,0.5155886,0.000001368884,0.00001024163,0.00002412804,0.004434769,0.00006900703,0.2634479,0.0008966592,0.001771705,0.2135415],"study_design_scores_gemma":[0.00007110814,0.0001359926,0.8924704,0.000002620327,7.754153e-7,7.53325e-7,0.01020424,0.00001751527,0.006786878,0.0002667045,0.08987878,0.0001641946],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941029,0.00009418844,0.00002494223,0.001813139,0.00003539404,0.00017207,0.000006554185,0.00002379078,0.003727035],"genre_scores_gemma":[0.9980373,0.00003436567,0.0005518133,0.0003702138,0.00003161442,0.00003040782,0.000002165764,6.997171e-7,0.0009414208],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3768818,"threshold_uncertainty_score":0.9991342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03594120983550824,"score_gpt":0.2517907509222791,"score_spread":0.2158495410867708,"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."}}