{"id":"W4283448044","doi":"10.1016/j.dib.2022.108415","title":"Monoclonal antibodies binding data for SARS-CoV-2 proteins","year":2022,"lang":"en","type":"article","venue":"Data in Brief","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Institute of Allergy and Infectious Diseases; Canadian Institutes of Health Research; Mercatus Center, George Mason University; National Institutes of Health; University of California, San Francisco; George Mason University","keywords":"Monoclonal antibody; Antibody; Coronavirus; Phage display; Virology; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus disease 2019 (COVID-19); Molecular biology; Antigen; Biology; Chemistry; Computational biology; Immunology; Medicine","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":[0.001184591,0.0001813449,0.0003706541,0.000228625,0.0003506505,0.00004920514,0.001729797,0.00004616809,0.00023224],"category_scores_gemma":[0.000424118,0.0001669213,0.00004922694,0.0003608465,0.0001281642,0.0003519158,0.004687896,0.0004745996,0.0000378677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000748208,"about_ca_system_score_gemma":0.0002677293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001448206,"about_ca_topic_score_gemma":0.0002515187,"domain_scores_codex":[0.9975337,0.00008084153,0.0003732851,0.0008195189,0.0006520778,0.0005405681],"domain_scores_gemma":[0.997484,0.0002055099,0.00007724114,0.002108396,0.00004756655,0.00007732832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003968399,0.00150938,0.08903632,0.001064894,0.0003944775,0.0009176557,0.000395639,0.000008977363,0.1666645,0.003923138,0.701053,0.0310637],"study_design_scores_gemma":[0.001639752,0.0003307851,0.008629427,0.00006579101,0.00003691266,0.000192774,0.0001551556,0.009504286,0.004372663,0.0002091146,0.9746195,0.0002438031],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9332225,0.001103509,0.0002671656,0.009725902,0.0003369926,0.002091971,0.05118126,0.00007644629,0.001994292],"genre_scores_gemma":[0.6291262,0.0008136579,0.04923018,0.006615659,0.002230481,0.0009452566,0.3000941,0.0002286558,0.01071578],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3040963,"threshold_uncertainty_score":0.6806851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2088303517840087,"score_gpt":0.4172819587315118,"score_spread":0.2084516069475031,"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."}}