{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002211349,0.0001509144,0.0003451614,0.0002260693,0.00006613349,0.00001121983,0.000444154,0.0003384922,0.00005105351],"category_scores_gemma":[0.0002931328,0.00008711264,0.0001110426,0.0004808923,0.0003163128,0.00004915773,0.0002765068,0.0006695494,0.0000082916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002626717,"about_ca_system_score_gemma":0.0002223865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003260189,"about_ca_topic_score_gemma":0.0006688369,"domain_scores_codex":[0.9985976,0.00004551973,0.0003494699,0.00027806,0.0004325159,0.0002968913],"domain_scores_gemma":[0.9987631,0.00003885277,0.0001405128,0.0008526351,0.0001891142,0.00001573136],"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":[0.0002798882,0.0000586501,0.03631878,0.0001578605,0.00004587292,0.00003276677,0.0001514166,1.666049e-7,0.9559519,0.0007441851,0.0001635153,0.006094982],"study_design_scores_gemma":[0.001076381,0.0001592467,0.01142977,0.0001158919,0.00002139621,0.0001319721,0.0001256851,0.00004054784,0.9589662,0.001258812,0.02658417,0.00008990978],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961507,0.0001313683,0.00001652645,0.002189022,0.000209219,0.0006277351,0.00001364186,0.00003936369,0.0006224709],"genre_scores_gemma":[0.9953488,0.000002261358,0.0003866645,0.00404097,0.00009699122,0.00001706969,9.558463e-7,0.00002535663,0.00008091007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02642066,"threshold_uncertainty_score":0.355235,"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."}}