{"id":"W2099959749","doi":"10.1128/jvi.03099-14","title":"Broadly Neutralizing Anti-Influenza Virus Antibodies: Enhancement of Neutralizing Potency in Polyclonal Mixtures and IgA Backbones","year":2015,"lang":"en","type":"article","venue":"Journal of Virology","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University Medical Centre","funders":"National Institute of Allergy and Infectious Diseases; Canadian Institutes of Health Research; U.S. Public Health Service","keywords":"Polyclonal antibodies; Hemagglutinin (influenza); Virology; Neutralization; Biology; Antibody; Context (archaeology); Virus; Monoclonal antibody; Influenza A virus; Immunology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006278908,0.0005406747,0.0002238624,0.0002429086,0.00009018376,0.0003236175,0.000391553,0.0004356462,0.000582654],"category_scores_gemma":[0.000421424,0.0001557532,0.0002341271,0.0001831469,0.0002303942,0.00027609,0.0003061018,0.0005800221,0.0002138248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002936947,"about_ca_system_score_gemma":0.0001774837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003938036,"about_ca_topic_score_gemma":0.000496248,"domain_scores_codex":[0.9996642,0.00009694621,0.00002191334,0.00005853391,0.00008145211,0.00007701068],"domain_scores_gemma":[0.9997994,0.00006097811,0.00004225902,0.00001854609,0.00004420634,0.00003449471],"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":[0.0001330237,0.00009986266,0.0004192279,0.00005437968,0.00001531819,0.00001719497,0.000009037878,0.0001879388,0.9959362,0.00004429152,0.00003873246,0.003044907],"study_design_scores_gemma":[0.00002979147,0.001594536,0.001707485,0.000006904845,0.00004552684,0.0001561849,0.000008241429,0.00111975,0.9944425,0.00002329814,0.0008626045,0.000003254503],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903721,0.002092581,0.006077047,0.00007564677,0.00003372908,0.00004493568,0.00008498336,0.0001023001,0.001116741],"genre_scores_gemma":[0.99501,0.0006371656,0.003556198,0.00007963958,0.00003281385,0.00002192854,0.0001856168,0.00001315144,0.0004634747],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006278908,"threshold_uncertainty_score":0.003320634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09977869971931601,"score_gpt":0.3949942146247725,"score_spread":0.2952155149054565,"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."}}