{"id":"W3186234830","doi":"10.1101/2021.07.20.452858","title":"Cornering an Ever-Evolving Coronavirus: TATX-03, a fully human synergistic multi-antibody cocktail targeting the SARS-CoV-2 Spike Protein with <i>in vivo</i> 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":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"ImmunoPrecise (Canada)","funders":"","keywords":"In vivo; Antibody; Virology; Potency; Spike Protein; Coronavirus; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Epitope; Antibody titer; Biology; Immunology; Neutralization; Titer; In vitro; Coronavirus disease 2019 (COVID-19); Medicine; Pharmacology; Disease; Infectious disease (medical specialty); Genetics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003974836,0.0003940815,0.0003032199,0.0001434298,0.0001295492,0.0003828401,0.0002196445,0.0003412754,0.001216378],"category_scores_gemma":[0.0001166612,0.0001410393,0.0002438972,0.00009851544,0.0002203972,0.0002134296,0.0002796428,0.0005142618,0.0003128925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002270142,"about_ca_system_score_gemma":0.0002149879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000283412,"about_ca_topic_score_gemma":0.0003206652,"domain_scores_codex":[0.9998119,0.00004829916,0.00001166909,0.00003659516,0.00005469981,0.0000368028],"domain_scores_gemma":[0.9999552,0.000005958611,0.00001063454,0.000006219467,0.000005710662,0.00001626942],"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":[0.0002587198,0.00008078844,0.0001963786,0.00003485789,0.0000189501,0.00003806616,0.00001344983,0.0002808259,0.9943843,0.0001424687,0.0001811332,0.004370019],"study_design_scores_gemma":[0.00008305878,0.002086952,0.001030297,0.00000750371,0.00005046863,0.0005729711,0.00001250937,0.001535761,0.9879434,0.00006548064,0.006606324,0.000005230288],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9832566,0.003121289,0.01006968,0.0003779401,0.0001096327,0.0001168591,0.0002466408,0.0001489991,0.002552357],"genre_scores_gemma":[0.9892009,0.0008838463,0.00740328,0.0001706975,0.00002752418,0.00004564298,0.0002746661,0.00002184605,0.001971673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001216378,"threshold_uncertainty_score":0.004069209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04417703328522211,"score_gpt":0.3232672520551979,"score_spread":0.2790902187699758,"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."}}