{"id":"W4384455637","doi":"10.1080/21645698.2023.2233122","title":"Genetically modified soybean lines exhibit less transcriptomic variation compared to natural varieties","year":2023,"lang":"en","type":"article","venue":"GM crops & food","topic":"Genetically Modified Organisms Research","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Biotechnology Research Institute","funders":"Agricultural Science and Technology Innovation Program; Chinese Academy of Agricultural Sciences","keywords":"Biology; KEGG; Transcriptome; Gene; Genome; Genetics; Genetically modified crops; Genetically modified organism; Transgene; RNA-Seq; Gene expression; Biotechnology; Computational biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001076168,0.0002045656,0.0001531109,0.0003760884,0.0001334144,0.0001855087,0.0001028246,0.0001561636,0.0005736505],"category_scores_gemma":[0.0001443192,0.00009291165,0.0002255017,0.0002781874,0.0001552416,0.0001158208,0.0001652645,0.0003070628,0.0001105018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001579068,"about_ca_system_score_gemma":0.0000799319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005245408,"about_ca_topic_score_gemma":0.001037143,"domain_scores_codex":[0.9998784,0.00001007933,0.00001145819,0.00005278755,0.00003170703,0.0000155558],"domain_scores_gemma":[0.999882,0.00001741801,0.00005525222,0.0000116325,0.00001542753,0.00001832005],"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":[0.00005558893,0.000006738045,0.002621779,0.00001837485,0.00001227358,0.00003915439,0.00001843361,0.00002080486,0.9963731,0.00003006429,0.00001284121,0.0007910053],"study_design_scores_gemma":[0.00001654578,0.0002994644,0.7509145,0.00001084858,0.00009380424,0.0009334128,0.0001616686,0.001011099,0.2432475,0.0002580388,0.00303566,0.00001738447],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965644,0.0004568523,0.001439515,0.00003503605,0.000008490545,0.000007520965,0.0009345825,0.00004416444,0.0005093645],"genre_scores_gemma":[0.995051,0.0002169129,0.00144835,0.0000736997,0.000005085681,0.00002139445,0.002368561,0.00002523538,0.0007897603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005736505,"threshold_uncertainty_score":0.001919091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05257619937883302,"score_gpt":0.2534747926265625,"score_spread":0.2008985932477295,"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."}}