{"id":"W3080155088","doi":"10.1101/2020.08.21.262188","title":"Recombinant SARS-CoV-2 RBD molecule with a T helper epitope as a built in adjuvant induces strong neutralization antibody response","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artron Bioresearch (Canada)","funders":"","keywords":"Immunogenicity; Antigenicity; Vero cell; Neutralization; Adjuvant; Virology; Toxoid; Antibody; Immune system; Epitope; Fusion protein; Recombinant DNA; Biology; Protein subunit; Antigen; Neutralizing antibody; Humoral immunity; Coronavirus; Virus; Immunology; Medicine; Immunization; Coronavirus disease 2019 (COVID-19); Biochemistry; Infectious disease (medical specialty); Gene","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":[0.0001274492,0.0004919673,0.0001730994,0.0001514561,0.0000684773,0.0001277042,0.0001261511,0.0002451405,0.001373347],"category_scores_gemma":[0.00009483501,0.00009931056,0.0002423728,0.00007466843,0.0001292471,0.0001162862,0.0001647112,0.0004636467,0.0005466604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001627991,"about_ca_system_score_gemma":0.0001231703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001641404,"about_ca_topic_score_gemma":0.0001792738,"domain_scores_codex":[0.9998986,0.00001600498,0.000009058083,0.00002212706,0.00002198315,0.000032271],"domain_scores_gemma":[0.9999417,0.0000107101,0.00001218874,0.000008402362,0.00001026908,0.00001675102],"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":[0.00008703021,0.00005420742,0.0001594952,0.00002757701,0.000003970833,0.00002619593,0.000004893276,0.00004748395,0.9989775,0.00003415043,0.00004382694,0.0005337048],"study_design_scores_gemma":[0.00007599337,0.001232595,0.002040446,0.00001065254,0.00002276839,0.0002150511,0.00001686663,0.001199109,0.9921317,0.00004925178,0.003001521,0.000003950453],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948795,0.0007504685,0.002593981,0.00007731283,0.00006587312,0.00003309767,0.0002089941,0.00008289617,0.001307931],"genre_scores_gemma":[0.9943732,0.0002946825,0.001953161,0.00008546033,0.00002516299,0.00002341609,0.0009023161,0.00001463015,0.002327923],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001373347,"threshold_uncertainty_score":0.004594326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04179620707191646,"score_gpt":0.3277689067992773,"score_spread":0.2859726997273608,"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."}}