{"id":"W4387231428","doi":"10.1038/s41598-023-43661-2","title":"Influence of variant-specific mutations, temperature and pH on conformations of a large set of SARS-CoV-2 spike trimer vaccine antigen candidates","year":2023,"lang":"en","type":"article","venue":"Scientific Reports","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Ectodomain; Trimer; Protein subunit; Spike (software development); Computational biology; Protein structure; Chemistry; Antigen; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Biology; Biophysics; Coronavirus disease 2019 (COVID-19); Genetics; Biochemistry; Dimer; Computer science; Gene; Medicine","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":[0.0003568362,0.0003248045,0.0002533863,0.0001389865,0.0001407549,0.0003117714,0.0001997716,0.00019569,0.001339274],"category_scores_gemma":[0.0005850328,0.0001502282,0.0002191531,0.0001956913,0.0002287242,0.0003010035,0.0001864985,0.000476634,0.0002451497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001488325,"about_ca_system_score_gemma":0.0001545442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000609691,"about_ca_topic_score_gemma":0.0006846292,"domain_scores_codex":[0.9997707,0.00006287927,0.00002912207,0.00005046934,0.00004553519,0.00004139204],"domain_scores_gemma":[0.9997593,0.00009370074,0.00005553004,0.00002404544,0.00003145836,0.00003596861],"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":[0.0008146152,0.0001528083,0.001239506,0.00005373031,0.00003104608,0.00006909783,0.00005768804,0.0008319041,0.9942822,0.00007573092,0.00007207602,0.002319527],"study_design_scores_gemma":[0.00002381993,0.001105293,0.005894527,0.000008373999,0.00003880389,0.0001423936,0.00006123046,0.00214594,0.9896919,0.00004193837,0.0008313682,0.00001426551],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978507,0.0007723151,0.000589511,0.0000296405,0.00002330586,0.00001457682,0.0001427607,0.00001376934,0.0005634633],"genre_scores_gemma":[0.9978981,0.0005160722,0.0008894905,0.00004229264,0.000006047528,0.00001630474,0.0002240167,0.00002199978,0.0003856623],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001339274,"threshold_uncertainty_score":0.004480362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03436707612882959,"score_gpt":0.3528043320894177,"score_spread":0.3184372559605881,"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."}}