{"id":"W4412818077","doi":"10.1021/acsnano.5c06081","title":"Lumazine Synthase Nanoparticles as a Versatile Platform for Multivalent Antigen Presentation and Cross-Protective Coronavirus Vaccines","year":2025,"lang":"en","type":"article","venue":"ACS Nano","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Infection and Immunity","funders":"Science and Engineering Research Board; Ministry of Education, India; Council of Scientific and Industrial Research, India; University Grants Commission; Department of Science and Technology, Ministry of Science and Technology, India; Indian Institute of Science Education and Research Thiruvananthapuram","keywords":"Antibody; Biophysics; Virology; Nanoparticle; Dynamic light scattering; Chemistry; Biology; Molecular biology; Nanotechnology; Materials science; Immunology","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":[0.0001337763,0.0002983237,0.0001461466,0.0001431409,0.00007965288,0.0001686288,0.000147618,0.0003210482,0.0003849774],"category_scores_gemma":[0.00005230701,0.000112366,0.0001509557,0.00006094268,0.0001363735,0.0001698356,0.0002022139,0.0002424514,0.0001807761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002613727,"about_ca_system_score_gemma":0.00009441975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001776347,"about_ca_topic_score_gemma":0.0002619867,"domain_scores_codex":[0.9999387,0.00001576703,0.000002850769,0.00001461565,0.00001454181,0.00001351846],"domain_scores_gemma":[0.9999785,0.000003296005,0.000006499848,0.000002058787,0.000003130118,0.000006393293],"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":[0.00002023449,0.000009098487,0.00002611076,0.00001709872,0.000002321029,0.00001831785,0.000005101657,0.0001767898,0.9986167,0.000109244,0.00002925371,0.0009697859],"study_design_scores_gemma":[0.00001305414,0.0002632997,0.0004601948,0.000003430021,0.000008879048,0.0000930561,0.000007461087,0.002180877,0.9948384,0.00005465313,0.002072702,0.000003927141],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9780351,0.002311704,0.01691577,0.0001817496,0.00003449425,0.0000658111,0.0001330593,0.0002212928,0.002101005],"genre_scores_gemma":[0.9909512,0.0006198584,0.006648694,0.0000725175,0.00000879967,0.00004035222,0.0001164562,0.00001426501,0.001527971],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0003849774,"threshold_uncertainty_score":0.001896381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05413580298481326,"score_gpt":0.4070696478265434,"score_spread":0.3529338448417301,"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."}}