{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001715396,0.00016702,0.0006052236,0.0003875392,0.00005364094,0.00001196094,0.0001734345,0.0001018681,0.00002310974],"category_scores_gemma":[0.001844359,0.00009866129,0.00009124645,0.0002268306,0.00009586622,0.0002287255,0.0001139835,0.000201756,0.000005662681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009209304,"about_ca_system_score_gemma":0.0002903061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001132671,"about_ca_topic_score_gemma":6.990303e-7,"domain_scores_codex":[0.9977816,0.000192039,0.001024781,0.0001797806,0.0005726564,0.0002491088],"domain_scores_gemma":[0.9972012,0.00009807725,0.0009590114,0.0003142887,0.001242203,0.0001852081],"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":[0.004146898,0.0001487437,0.002816891,0.0003733138,0.00008351581,0.00001081443,0.0004714805,0.00002626921,0.9891353,0.00006387335,0.000165531,0.002557399],"study_design_scores_gemma":[0.00299623,0.001656472,0.005539679,0.002569464,0.00004284961,0.00002857045,0.00006715692,0.00002066305,0.9861426,0.0002731027,0.0005611965,0.0001020408],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9233101,0.0003703356,0.0722758,0.001128587,0.00002421484,0.002858696,0.000009449642,0.000007735219,0.00001511618],"genre_scores_gemma":[0.856113,0.0001181872,0.1433768,0.00006019743,0.00009098877,0.00007804391,3.009414e-7,0.00002765356,0.0001348635],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07110101,"threshold_uncertainty_score":0.4023291,"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."}}