{"id":"W2000351076","doi":"10.1016/j.ab.2010.07.016","title":"Strain identification of commercial influenza vaccines by mass spectrometry","year":2010,"lang":"en","type":"article","venue":"Analytical Biochemistry","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Health Canada","funders":"GlaxoSmithKline","keywords":"Hemagglutinin (influenza); Neuraminidase; Virology; Chromatography; Mass spectrometry; Strain (injury); Biology; Chemistry; Computational biology; Virus","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":[0.0003355395,0.000153977,0.0003276402,0.00008734898,0.00005931428,0.00002047307,0.0001828442,0.0001883219,0.0004878818],"category_scores_gemma":[0.001550029,0.0001352669,0.0001320455,0.0003733611,0.0002927191,0.00004555345,0.00006678316,0.0005191982,0.00005360304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004174648,"about_ca_system_score_gemma":0.00009746872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001501411,"about_ca_topic_score_gemma":0.000001410618,"domain_scores_codex":[0.9984686,0.00001386698,0.00047242,0.0002822921,0.000456867,0.0003059828],"domain_scores_gemma":[0.9988382,0.0001140037,0.000105079,0.0004765428,0.0002752424,0.0001909208],"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":[0.0001045166,0.000149457,0.02557654,0.0001525796,0.0001321279,0.000005618363,0.00001531366,1.191881e-7,0.9672599,0.0001939992,0.005659854,0.0007499497],"study_design_scores_gemma":[0.000765486,0.00006201234,0.03070477,0.00002009176,0.0001048989,0.000007529002,0.00008276483,0.0001518981,0.9661683,0.0001899221,0.001610437,0.0001318353],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939401,0.0001932126,0.0001700671,0.0009311052,0.00004833062,0.0001325638,0.0001661908,0.00003724928,0.004381144],"genre_scores_gemma":[0.9979068,0.00002270743,0.0005060158,0.0003492585,0.0002181274,0.000007850786,0.00006253688,0.00001487222,0.0009118223],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005128228,"threshold_uncertainty_score":0.5516025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03350875130128615,"score_gpt":0.3766808764888753,"score_spread":0.3431721251875892,"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."}}