{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002477114,0.0001137548,0.0001513744,0.0001732709,0.0001511052,0.0000094754,0.0001708772,0.0003812032,0.000006199639],"category_scores_gemma":[0.00006368991,0.00009243913,0.00006346868,0.0003956464,0.0001035183,0.000005501996,0.0000259772,0.0002051646,0.000003249803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000151633,"about_ca_system_score_gemma":0.0000981979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005443429,"about_ca_topic_score_gemma":0.00004648654,"domain_scores_codex":[0.9991471,0.00001943807,0.0002729748,0.000244113,0.00009208363,0.0002242639],"domain_scores_gemma":[0.9993852,0.000006687384,0.0002121333,0.0002331812,0.0001163804,0.0000464253],"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":[0.0002344565,0.0000746662,0.0003599406,0.00001034867,0.00007069652,0.000001405669,0.00001595849,0.0001541191,0.9917207,0.00005045544,0.001438599,0.00586861],"study_design_scores_gemma":[0.001311514,0.001003136,0.002313943,0.00002574477,0.00004025477,0.0001578948,0.00008132308,0.00007446535,0.8795924,0.0002321436,0.115017,0.0001501091],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9833857,0.0001687697,0.01145246,0.003970813,0.0003493466,0.0005347357,0.00007336206,0.00005336995,0.00001138419],"genre_scores_gemma":[0.9960092,0.0006445709,0.002100208,0.0000196829,0.0003430367,0.00006893058,0.0003815553,0.00002134189,0.0004114916],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1135784,"threshold_uncertainty_score":0.3769558,"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."}}