{"id":"W3139530445","doi":"10.1101/2021.03.22.436337","title":"Live Imaging of SARS-CoV-2 Infection in Mice Reveals Neutralizing Antibodies Require Fc Function for Optimal Efficacy","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Université de Montréal; McGill University; Centre Hospitalier de l’Université de Montréal","funders":"Fast Grants; George Mason University","keywords":"Antibody; Immunology; Virology; Effector; Immune system; Nasal administration; Neutralization; Neutralizing antibody; Medicine; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); In vivo; Coronavirus disease 2019 (COVID-19); Virus; Biology; Disease; Pathology; Infectious disease (medical specialty)","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":[0.0002725774,0.0004164917,0.0002638982,0.0001874384,0.0001298595,0.0002890126,0.0001784844,0.0004395401,0.001503331],"category_scores_gemma":[0.00008505653,0.0001839483,0.0002269096,0.00008129079,0.0002383803,0.0002803994,0.0001314873,0.0007885544,0.0004672899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003891479,"about_ca_system_score_gemma":0.0001933853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007815861,"about_ca_topic_score_gemma":0.0008369408,"domain_scores_codex":[0.9998943,0.00001658173,0.000005189433,0.00002429184,0.00002586176,0.00003371337],"domain_scores_gemma":[0.9999539,0.000008033577,0.00001200136,0.000004148077,0.000009212475,0.00001276951],"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":[0.00005477217,0.0000105663,0.0000746728,0.00001264188,0.000001400888,0.0000111294,0.000008004856,0.00003978449,0.9992079,0.00005422469,0.00004775469,0.0004771581],"study_design_scores_gemma":[0.00001444375,0.0001495661,0.001525676,0.000004430503,0.000004524255,0.0001076939,0.00001575471,0.001694145,0.9951779,0.00006030281,0.001242634,0.000002842201],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9735559,0.002040528,0.01850712,0.0005194847,0.00005000426,0.00006504703,0.0006288351,0.0003034788,0.004329609],"genre_scores_gemma":[0.9739294,0.0009947852,0.01814713,0.0002198007,0.00002106511,0.00007100253,0.00076586,0.0001031895,0.005747663],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001503331,"threshold_uncertainty_score":0.005029082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04588086528366289,"score_gpt":0.3270089440010761,"score_spread":0.2811280787174132,"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."}}