{"id":"W3001495860","doi":"10.9734/ejnfs/2019/v11i430164","title":"Environmental Risk Assessment of Insect-resistant and Herbicide-tolerant Genetically Modified Maize 1507 x 59122 for Food and Feed Uses, Import and Processing under Regulation (EC) No 1829/2003 (EFSA/GMO/NL/2005/15)","year":2020,"lang":"en","type":"article","venue":"European Journal of Nutrition & Food Safety","topic":"Genetically Modified Organisms Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Genetically modified organism; Genetically modified crops; Food safety; Genetically modified maize; Biotechnology; Biology; Environmental risk assessment; Genetically modified food; Risk assessment; Herbicide resistance; Environmental safety; Agronomy; Food science; Transgene; Weed control; Economics; Gene; Genetics; Medicine; Environmental health","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":[0.0009121439,0.000205307,0.0003450986,0.00003447095,0.0002604105,0.0001202614,0.0001589467,0.00006559677,0.00005534778],"category_scores_gemma":[0.0001151366,0.0001125959,0.00007544369,0.0001523632,0.000196154,0.0001586621,0.0001179018,0.0002577656,8.37382e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004688626,"about_ca_system_score_gemma":0.00004332242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002820667,"about_ca_topic_score_gemma":0.0000182751,"domain_scores_codex":[0.997642,0.000473169,0.000783252,0.0003425604,0.0004701265,0.0002888738],"domain_scores_gemma":[0.9987993,0.0001505147,0.0004328265,0.00005850998,0.0001982382,0.0003606177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00145945,0.0004604138,0.002102237,0.0001489088,0.0001045459,0.00001339428,0.0001633425,0.0001087257,0.9745737,0.0001938309,0.0001357193,0.02053577],"study_design_scores_gemma":[0.003284907,0.008675986,0.9762239,0.0001408468,0.0000964564,0.00007528959,0.0004250339,0.001721442,0.006143137,0.0005695088,0.002364357,0.0002791377],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927116,0.001453253,0.002663067,0.002245939,0.00003054748,0.0005197141,0.0002265785,0.0000125027,0.0001368168],"genre_scores_gemma":[0.9904913,0.001235523,0.007862221,0.000153753,0.0002064171,0.000003639974,0.00003039967,0.000008764111,0.000007982749],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9741217,"threshold_uncertainty_score":0.4591527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03456845606775787,"score_gpt":0.2309300238448911,"score_spread":0.1963615677771333,"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."}}