{"id":"W4311458224","doi":"10.1371/journal.pone.0277668","title":"Scalable agroinfiltration-based production of SARS-CoV-2 antigens for use in diagnostic assays and subunit vaccines","year":2022,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Transgenic Plants and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Infection and Immunity; University of Ottawa","funders":"National Research Council Canada; Agriculture and Agri-Food Canada; University of Cape Town; Canadian Institutes of Health Research; University of Ottawa","keywords":"Agroinfiltration; Antigen; Virology; Protein subunit; Antibody; Biology; Epitope; Recombinant DNA; Computational biology; Virus; Biochemistry; Immunology; Nicotiana benthamiana; Gene","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00009766601,0.00005334017,0.00008506923,0.00003419847,0.00006680186,0.000006785905,0.00004894639,0.00002530417,0.000004209507],"category_scores_gemma":[0.0001632454,0.00005747757,0.00001807296,0.000080329,0.00001589345,0.000003686389,0.00001392497,0.00003569427,2.838423e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004975152,"about_ca_system_score_gemma":0.00003491372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005090291,"about_ca_topic_score_gemma":0.000266183,"domain_scores_codex":[0.9995304,0.00002075814,0.0001303369,0.0001681722,0.00006532137,0.000085019],"domain_scores_gemma":[0.999701,0.00006230997,0.00004516224,0.0001369248,0.00004293012,0.00001169224],"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":[0.00004255609,0.0005299211,0.03397775,0.00004098874,0.00002471109,1.677565e-7,0.00001219454,0.0001237121,0.96477,0.00003205157,0.00036804,0.00007786169],"study_design_scores_gemma":[0.0003937226,0.0001418042,0.01798726,0.0000129889,0.00003494685,0.000001211861,0.00001484082,0.0005679933,0.9797604,0.00004482876,0.0009636428,0.00007636994],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985194,0.0001247037,0.0004653116,0.000263839,0.00001482978,0.0004163722,0.0001742486,0.000005576459,0.000015703],"genre_scores_gemma":[0.9975059,0.00008177276,0.001672215,0.00006562004,0.00003124338,0.0002060997,0.0003550957,0.000008452023,0.00007360753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01599049,"threshold_uncertainty_score":0.2343867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05366817330877501,"score_gpt":0.2532912448715267,"score_spread":0.1996230715627517,"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."}}