{"id":"W2061828573","doi":"10.4161/mabs.2.1.10788","title":"Neutralizing epitopes of the SARS-CoV S-protein cluster independent of repertoire, antigen structure or mAb technology","year":2010,"lang":"en","type":"article","venue":"mAbs","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":129,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada; University of Toronto; University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Thailand Science Research and Innovation; Public Health Agency; National Cancer Institute; National Institutes of Health; Public Health Agency of Canada; University of Manitoba; University of Montana","keywords":"Epitope; Monoclonal antibody; Virology; Glycoprotein; Antigen; Antibody; Biology; Coronavirus; Epitope mapping; Fusion protein; Recombinant DNA; Chemistry; Molecular biology; Coronavirus disease 2019 (COVID-19); Immunology; Biochemistry; Medicine; Gene","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":[0.000236842,0.0003284249,0.0002087035,0.0001848214,0.00009971947,0.0002866704,0.000256421,0.000256883,0.0009571015],"category_scores_gemma":[0.0002461526,0.0001367627,0.0002877361,0.0001369913,0.0001522945,0.0001879796,0.000200159,0.0003719474,0.000365128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003058749,"about_ca_system_score_gemma":0.0001450256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004795251,"about_ca_topic_score_gemma":0.0004297542,"domain_scores_codex":[0.9997784,0.00004691957,0.00001326095,0.0000381313,0.00006947017,0.00005378524],"domain_scores_gemma":[0.9998589,0.00003454687,0.00002947492,0.00002465102,0.0000310305,0.00002144103],"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":[0.00005177083,0.00001186453,0.0003165456,0.00001539493,0.000003732298,0.00001460931,0.000006425757,0.00007648278,0.9983289,0.00005327949,0.00001343467,0.001107566],"study_design_scores_gemma":[0.00002438409,0.0009117876,0.01049278,0.00001204977,0.00004161071,0.0009084694,0.00002582665,0.001819204,0.9821469,0.00008931773,0.003522199,0.000005559127],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925809,0.001058396,0.004028693,0.0000470561,0.000009067554,0.00002645927,0.00009833772,0.00005094678,0.002100046],"genre_scores_gemma":[0.994683,0.000646699,0.002895656,0.00007018385,0.000009429289,0.00001820405,0.0004254601,0.00001160838,0.001239844],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009571015,"threshold_uncertainty_score":0.003201842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02628942709699998,"score_gpt":0.325969305817793,"score_spread":0.299679878720793,"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."}}