{"id":"W4207054301","doi":"10.1073/pnas.2112887119","title":"Engineering pan–HIV-1 neutralization potency through multispecific antibody avidity","year":2022,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"HIV Research and Treatment","field":"Immunology and Microbiology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; Hospital for Sick Children; University of Toronto","funders":"National Institute of Allergy and Infectious Diseases; Canadian Institutes of Health Research; Canada Research Chairs; National Institutes of Health; Hospital for Sick Children; European Commission; European Regional Development Fund; Eusko Jaurlaritza; Natural Sciences and Engineering Research Council of Canada; Agencia Estatal de Investigación; Ministerio de Ciencia, Innovación y Universidades; Canadian Institute for Advanced Research","keywords":"Avidity; Neutralization; Antibody; Potency; Virology; Biology; In vivo; Phage display; In vitro; Immunology; Biochemistry; Genetics","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":[0.0004725158,0.000687745,0.0002634457,0.0002653034,0.0001323686,0.0005251979,0.0003706302,0.0005575423,0.002225959],"category_scores_gemma":[0.00027408,0.0002215877,0.0002145657,0.0001623129,0.0002363257,0.0002930578,0.0003772058,0.0008681696,0.0004433267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004730837,"about_ca_system_score_gemma":0.0002660456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000499767,"about_ca_topic_score_gemma":0.001081559,"domain_scores_codex":[0.9997329,0.00005156558,0.00001836381,0.00005175867,0.00007697089,0.00006835964],"domain_scores_gemma":[0.999856,0.00003721239,0.00003348468,0.00001377172,0.00002824007,0.00003130413],"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":[0.00005100023,0.0000569131,0.00009764371,0.00001605799,0.00000602064,0.00001641152,0.000007994077,0.0001255129,0.9977348,0.0001344855,0.00004322517,0.001709776],"study_design_scores_gemma":[0.00001909078,0.000442661,0.0005804431,0.000003502561,0.0000174298,0.0001647469,0.000007100507,0.001405959,0.9954267,0.00004417263,0.001884109,0.000004105639],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9766579,0.000873875,0.01803137,0.0001599594,0.00004338135,0.000119695,0.0002141962,0.0002328984,0.003666709],"genre_scores_gemma":[0.9866424,0.0002569598,0.01003342,0.00008301192,0.000007487228,0.00005560262,0.0002179812,0.00002910415,0.002673989],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002225959,"threshold_uncertainty_score":0.007446587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04208880667593818,"score_gpt":0.3161630561794746,"score_spread":0.2740742495035364,"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."}}