{"id":"W2070145210","doi":"10.1186/1472-6750-9-93","title":"Genetic load and transgenic mitigating genes in transgenic Brassica rapa (field mustard) × Brassica napus (oilseed rape) hybrid populations","year":2009,"lang":"en","type":"article","venue":"BMC Biotechnology","topic":"Genetically Modified Organisms Research","field":"Agricultural and Biological Sciences","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Institute of Agriculture, University of Tennessee; Animal and Plant Health Inspection Service; University of Georgia; U.S. Department of Agriculture","keywords":"Biology; Brassica rapa; Introgression; Weed; Brassica; Hybrid; Agronomy; Crop; Transgene; Interspecific competition; Genetic load; Genetically modified crops; Gene flow; Genetic variation; Botany; Gene; Genetics; Population","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":[0.0002145595,0.0002981815,0.0003804008,0.000107751,0.0002451269,0.00007702067,0.0005448307,0.0005657636,0.000199569],"category_scores_gemma":[0.0001396142,0.0001573292,0.0001337393,0.0007339829,0.0002563321,0.00007549059,0.00007393895,0.0005362746,0.00002242604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005828146,"about_ca_system_score_gemma":0.00005028785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001968548,"about_ca_topic_score_gemma":0.004521918,"domain_scores_codex":[0.9975485,0.0001620582,0.0004865096,0.0007348777,0.0002867711,0.0007812437],"domain_scores_gemma":[0.9992746,0.0002191674,0.00007276505,0.0002047591,0.00005596105,0.0001727764],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003618496,0.00009810225,0.004176035,0.00001090537,0.000008018189,0.000009831779,0.0000369595,0.0000172598,0.8462257,0.0005572881,0.00004640736,0.1487773],"study_design_scores_gemma":[0.0008469322,0.001194691,0.3509608,0.00003212682,0.0000324407,0.00007556422,0.0002266019,0.0009886854,0.6347766,0.008707595,0.001598286,0.0005597266],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9789274,0.00141053,0.000961401,0.0177464,0.00005718696,0.0005046398,0.00001513953,0.0002127984,0.0001644641],"genre_scores_gemma":[0.9937549,0.0003112828,0.005344179,0.0003969184,0.00008682269,0.00002604812,0.00001437826,0.000004348345,0.00006112245],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3467847,"threshold_uncertainty_score":0.6415698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02909491035772835,"score_gpt":0.2492378597929354,"score_spread":0.2201429494352071,"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."}}