{"id":"W4214854768","doi":"10.1002/bit.28073","title":"Multiple gene expression in plants using MIDAS‐P, a versatile type II restriction‐based modular expression vector","year":2022,"lang":"en","type":"article","venue":"Biotechnology and Bioengineering","topic":"Transgenic Plants and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Infection and Immunity","funders":"Horizon 2020 Framework Programme; Universitat de Lleida; European Commission; H2020 European Research Council; University College London; International Seafood Sustainability Foundation; FP7 Ideas: European Research Council; Wellcome Trust","keywords":"Biology; Terminator (solar); Gene expression; Expression vector; Gene; Molecular biology; Nicotiana benthamiana; Messenger RNA; Gene silencing; RNA interference; RNA; Genetics; Recombinant DNA","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":[0.00005773137,0.0001069751,0.00009293613,0.0001256718,0.0002138671,0.000004679274,0.0001205595,0.0001811816,0.00001094887],"category_scores_gemma":[0.00001165847,0.0001090398,0.00002202684,0.0001462611,0.0000302937,0.000003577521,0.0001502185,0.0001601111,4.349945e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002068439,"about_ca_system_score_gemma":0.00002632167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001468811,"about_ca_topic_score_gemma":0.000004854144,"domain_scores_codex":[0.9993534,0.00001595514,0.0001206209,0.0002736555,0.00006104289,0.0001753142],"domain_scores_gemma":[0.9997213,0.000006963292,0.00003243469,0.0002012258,0.000006788151,0.00003123501],"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":[0.00007113261,0.00004731178,0.0008860556,0.000006288612,0.000006574056,0.000004618542,0.00001191655,0.01091167,0.9878379,0.000008867027,0.00003817109,0.0001694804],"study_design_scores_gemma":[0.0005209446,0.0001398166,0.001735343,0.00001439824,0.000004867496,0.00001912671,0.00004450173,0.01465923,0.9759651,0.000004780925,0.006750838,0.0001409782],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910542,0.0008647121,0.00758124,0.0001162731,0.0001081017,0.0001381705,0.00008461474,0.00004862895,0.000004093297],"genre_scores_gemma":[0.9945395,0.0001550966,0.005066423,0.00002497816,0.00003048221,0.00003250745,0.0001281395,0.0000129791,0.000009905862],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01187274,"threshold_uncertainty_score":0.4446515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01281483128773725,"score_gpt":0.2171447814176627,"score_spread":0.2043299501299255,"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."}}