{"id":"W7100394632","doi":"","title":"1 The GMO experience in North &amp;amp; South America – where to from here?","year":2015,"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":"Distribution (mathematics); Economic impact analysis; Genetically modified crops; Genetically modified maize; Crop; Genetically modified organism; Private sector; Production (economics)","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":["insufficient_payload"],"category_scores_codex":[0.0001352884,0.0001136604,0.0001163655,0.000007279911,0.0001330063,0.0001550046,0.0006682071,0.00004171582,0.001040135],"category_scores_gemma":[0.0002451499,0.00003274637,0.00003188719,0.0005833916,0.0001114686,0.00004554434,0.0002871403,0.0001327877,0.002626314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003419054,"about_ca_system_score_gemma":0.00001909748,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.007409044,"about_ca_topic_score_gemma":0.1753502,"domain_scores_codex":[0.9985262,0.0001065236,0.0001738547,0.0003320157,0.0004348167,0.0004265897],"domain_scores_gemma":[0.9992003,0.0002005646,0.00002296868,0.000146504,0.0000879266,0.000341691],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002157566,0.0002163099,0.5777275,0.000001942449,0.00001554712,0.0000143373,0.01466171,0.000168913,0.1630359,0.0001318598,0.02369747,0.2201128],"study_design_scores_gemma":[0.0001219326,0.00009724768,0.6020093,0.000003873279,0.00000125731,0.000001096557,0.009614915,0.00001938052,0.0008785003,0.0003180738,0.3867057,0.0002287433],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925519,0.0001047296,0.0000671641,0.004842164,0.00005791612,0.0002046295,0.00001485457,0.00004121889,0.002115411],"genre_scores_gemma":[0.9951549,0.00002283772,0.001450601,0.0004267196,0.0001039324,0.00003833387,0.0000129223,0.000001122966,0.002788646],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3630082,"threshold_uncertainty_score":0.999873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.104918681832891,"score_gpt":0.294697946727446,"score_spread":0.189779264894555,"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."}}