{"id":"W2466318389","doi":"10.1016/j.jprot.2016.06.024","title":"Design and expression of a QconCAT protein to validate Hi3 protein quantification of influenza vaccine antigens","year":2016,"lang":"en","type":"article","venue":"Journal of Proteomics","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada","funders":"","keywords":"Quantitative proteomics; Antigen; Hemagglutinin (influenza); Proteomics; Computational biology; Influenza vaccine; Neuraminidase; Influenza A virus; Immunogenicity; Chemistry; Biology; Virus; Biochemistry; Virology; Immunology; Gene","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":[0.001381301,0.0004901838,0.0002510465,0.0003084948,0.0002659804,0.0004245093,0.0006299453,0.0006361952,0.0006280853],"category_scores_gemma":[0.0007302837,0.0001625881,0.0004152113,0.0004194393,0.0005078931,0.0002661978,0.0003029217,0.0007115219,0.0004087143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001054764,"about_ca_system_score_gemma":0.0004562119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00173551,"about_ca_topic_score_gemma":0.001670734,"domain_scores_codex":[0.9991868,0.0001409998,0.00007146819,0.0001636981,0.0003552343,0.00008182218],"domain_scores_gemma":[0.9990545,0.0001638498,0.0002490869,0.00009557803,0.0003759111,0.00006117461],"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":[0.00005428012,0.00004055789,0.0002962392,0.00003801297,0.000006799607,0.0000173566,0.00001958007,0.0002242707,0.9980655,0.00006452013,0.00004296635,0.001129918],"study_design_scores_gemma":[0.00000519063,0.0001344646,0.0009745918,0.000003057957,0.000008375378,0.00003961604,0.000006809271,0.001053747,0.9966297,0.00000895119,0.001132094,0.000003434457],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9199576,0.0007095142,0.07587019,0.0002946965,0.00005744102,0.0005207228,0.00118824,0.0002488281,0.001152676],"genre_scores_gemma":[0.817564,0.0006385254,0.1729652,0.0003194156,0.00002476697,0.0003604548,0.004257567,0.0001650134,0.003705086],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00173551,"threshold_uncertainty_score":0.007652879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1085183984901044,"score_gpt":0.3778433452772217,"score_spread":0.2693249467871173,"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."}}