{"id":"W2065166818","doi":"10.1111/j.1467-7652.2009.00414.x","title":"Transient co‐expression for fast and high‐yield production of antibodies with human‐like <i>N</i>‐glycans in plants","year":2009,"lang":"en","type":"article","venue":"Plant Biotechnology Journal","topic":"Transgenic Plants and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":167,"is_retracted":false,"has_abstract":true,"ca_institutions":"Medicago (Canada)","funders":"Centre National de la Recherche Scientifique","keywords":"Biology; Yield (engineering); Glycan; Antibody; Production (economics); Transient (computer programming); Expression (computer science); Cell biology; Computational biology; Molecular biology; Genetics; Glycoprotein; Computer science","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":[0.0001006951,0.0001072881,0.0001542953,0.0001062945,0.0001079941,0.000007831251,0.0001068977,0.0002066841,0.000001386815],"category_scores_gemma":[0.00000708503,0.00008075275,0.00002409587,0.00004416654,0.0001032324,0.000005245468,0.000006953848,0.0001623455,1.29677e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004717106,"about_ca_system_score_gemma":0.0000246805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005790062,"about_ca_topic_score_gemma":0.00007978323,"domain_scores_codex":[0.9993399,0.00001033341,0.0002009944,0.0002100191,0.00006304096,0.0001757165],"domain_scores_gemma":[0.9997128,0.00000705837,0.0001037366,0.0001222128,0.00002151041,0.00003268312],"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":[0.000263932,0.0001007787,0.001099831,0.00001191635,0.00001957481,0.000004477004,0.00004824595,0.00003039062,0.9940379,0.0001003345,0.0007331144,0.003549458],"study_design_scores_gemma":[0.0007508468,0.0007175904,0.01195641,0.0001028983,0.00001491169,0.0007108749,0.0001169496,0.000007701515,0.9815015,0.0001375525,0.003863479,0.0001192679],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941715,0.0004027676,0.003775556,0.001149286,0.00004571088,0.000225752,0.0001913995,0.00001108237,0.00002693025],"genre_scores_gemma":[0.9969415,0.001362517,0.001446918,0.0000466792,0.00004757933,0.00000834076,0.0001111958,0.000005985368,0.00002926944],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01253643,"threshold_uncertainty_score":0.3293002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01046833131432715,"score_gpt":0.2382313812464329,"score_spread":0.2277630499321057,"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."}}