{"id":"W4317932856","doi":"10.20944/preprints202301.0388.v1","title":"Significance of Conserved Regions in Coronavirus Spike Protein for Developing a Novel Vaccine against SARS-Cov-2 Infection","year":2023,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada; University of Manitoba","funders":"Canadian Institutes of Health Research; Mitacs; Research Manitoba","keywords":"Coronavirus; Immunogenicity; Virology; Biology; Protein subunit; Spike Protein; Pandemic; Immune system; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Epitope; Vaccination; Spike (software development); Coronavirus disease 2019 (COVID-19); Computational biology; Antibody; Genetics; Gene; Medicine; Infectious disease (medical specialty); Computer science","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":[0.000284914,0.0002749785,0.0002743354,0.0002375712,0.0001119624,0.0005331059,0.000133326,0.0004721181,0.002434646],"category_scores_gemma":[0.000240458,0.00006056529,0.0003086136,0.0001808071,0.0001348159,0.0003722133,0.0001584297,0.0004774805,0.001005757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000265939,"about_ca_system_score_gemma":0.0004101921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001856912,"about_ca_topic_score_gemma":0.0001689926,"domain_scores_codex":[0.999931,0.00001720536,0.000007139381,0.00001224836,0.00002133284,0.00001111815],"domain_scores_gemma":[0.999933,0.00001243898,0.00001312321,0.000004474875,0.00002315725,0.00001388208],"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":[0.0005003788,0.0001664293,0.002922692,0.003170624,0.0001186453,0.0007123917,0.0001226626,0.001026136,0.8369503,0.005186226,0.008001897,0.1411216],"study_design_scores_gemma":[0.0001311347,0.002057371,0.01754328,0.0009391867,0.0003987213,0.003322276,0.0003047531,0.003528817,0.5713673,0.006419743,0.3939478,0.00003966004],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4600486,0.4522782,0.03120205,0.009964114,0.004534814,0.0003656216,0.00229815,0.0006194978,0.03868912],"genre_scores_gemma":[0.8463927,0.1038987,0.02775596,0.001472429,0.001133311,0.0001229871,0.003552721,0.0001069354,0.01556432],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002434646,"threshold_uncertainty_score":0.008144677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3904047174262947,"score_gpt":0.4537658748833099,"score_spread":0.0633611574570152,"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."}}