{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003438795,0.0002564697,0.0002891777,0.00005981381,0.0003478926,0.000272812,0.0006460209,0.0001696902,0.0002564713],"category_scores_gemma":[0.0001190022,0.0001212757,0.000126327,0.001049501,0.0001053229,0.00007957718,0.0001975675,0.0002633178,0.0005241011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004280708,"about_ca_system_score_gemma":0.00003290177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003055262,"about_ca_topic_score_gemma":0.00165793,"domain_scores_codex":[0.9974731,0.0001526936,0.0003740891,0.0005994802,0.0006454998,0.0007551846],"domain_scores_gemma":[0.9990906,0.0001844708,0.00004346538,0.0001606609,0.0002273743,0.0002934794],"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":[0.0001147435,0.00008268956,0.0002553128,0.00001378289,0.00003460991,0.000005953239,0.000638906,0.000296258,0.9787652,0.001694413,0.001104897,0.01699323],"study_design_scores_gemma":[0.0007231375,0.00115739,0.904131,0.0000247699,0.00003928265,0.00001035306,0.0008704508,0.005335822,0.07718332,0.005500427,0.004242226,0.0007818424],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922339,0.00009018793,0.0003833797,0.005623636,0.0003398333,0.0005273683,0.00009603428,0.0003439822,0.0003616531],"genre_scores_gemma":[0.9978024,0.00001736657,0.0005647718,0.0003215894,0.0003616974,0.00005561741,0.0001569266,0.000006061022,0.0007135919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9038756,"threshold_uncertainty_score":0.6736434,"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."}}