{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001276161,0.0006014368,0.001156171,0.0008820801,0.0001420188,0.00018499,0.0002828606,0.0005504983,0.000004902733],"category_scores_gemma":[0.001029532,0.0006724008,0.0004216277,0.000895519,0.0001873929,0.000415857,0.0004240324,0.001065483,0.00001666514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005688602,"about_ca_system_score_gemma":0.001109334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008117745,"about_ca_topic_score_gemma":0.00003719562,"domain_scores_codex":[0.9961894,0.0002135506,0.001007531,0.001261974,0.0005434545,0.0007840501],"domain_scores_gemma":[0.9968079,0.0002508435,0.0005540115,0.0009867088,0.001329661,0.00007083101],"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":[0.0005952667,0.0003435307,0.1525794,0.002959372,0.0002120444,0.00009355912,0.00007565034,0.00001943942,0.8429413,0.00006497942,0.0001036803,0.00001184581],"study_design_scores_gemma":[0.001832269,0.000202259,0.2268004,0.002761694,0.0002572731,1.985616e-7,0.00002649922,0.0008741338,0.7650318,0.000001870297,0.00170703,0.0005045517],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991766,0.002476813,0.002513363,0.000153076,0.0009382058,0.001823423,0.00007363014,0.000238762,0.00001668273],"genre_scores_gemma":[0.9935596,0.0001573015,0.00304135,0.002244849,0.0005417803,0.0002928162,0.00000167387,0.0001593742,0.000001272295],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07790948,"threshold_uncertainty_score":0.9995727,"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."}}