{"id":"W4387426611","doi":"10.1002/biot.202300323","title":"A genome‐edited <i>N. benthamiana</i> line for industrial‐scale production of recombinant glycoproteins with targeted N‐glycosylation","year":2023,"lang":"en","type":"article","venue":"Biotechnology Journal","topic":"Transgenic Plants and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Medicago (Canada)","funders":"Bundesministerium für Digitalisierung und Wirtschaftsstandort; Austrian Science Fund; Austrian Centre of Industrial Biotechnology; Österreichische Forschungsförderungsgesellschaft; Standortagentur Tirol; Universität für Bodenkultur Wien; Amt der NÖ Landesregierung","keywords":"Glycosylation; Nicotiana benthamiana; Recombinant DNA; Glycoprotein; N-linked glycosylation; Fucosyltransferase; Glycan; Biology; Fucosylation; Biochemistry; Gene; Fucose; Molecular 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":[0.0002703683,0.0007245685,0.0003703086,0.0003520446,0.0003569907,0.0004345988,0.0007179227,0.0004377426,0.001299147],"category_scores_gemma":[0.0001831359,0.0002434145,0.0003659783,0.0003071929,0.0002939302,0.0002184702,0.0004201084,0.001264316,0.0008624828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006203936,"about_ca_system_score_gemma":0.0003819928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003525947,"about_ca_topic_score_gemma":0.006168108,"domain_scores_codex":[0.999798,0.00003074346,0.00002119815,0.00005253833,0.00006421404,0.00003333799],"domain_scores_gemma":[0.9997193,0.00005218645,0.00008090886,0.00005766969,0.00003735182,0.0000525787],"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":[0.00001071663,0.00001037379,0.00005457722,0.00001924642,0.000003168848,0.00002413314,0.00001233654,0.00002446862,0.9992043,0.00009134606,0.00003222693,0.0005130604],"study_design_scores_gemma":[0.00001186282,0.0001073477,0.003569403,0.000009344253,0.00004093814,0.0003666783,0.00003903485,0.001651258,0.9843993,0.0001115142,0.009676506,0.0000167792],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8875317,0.001185486,0.09276117,0.000428071,0.0002123459,0.0004570761,0.006346124,0.00238824,0.008689747],"genre_scores_gemma":[0.9124506,0.001202913,0.05286187,0.0002664139,0.0000244815,0.0003233341,0.01325034,0.0008715447,0.01874857],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003525947,"threshold_uncertainty_score":0.007010818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01818842736717339,"score_gpt":0.2367062773786118,"score_spread":0.2185178500114384,"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."}}