{"id":"W4386047070","doi":"10.1021/acs.bioconjchem.3c00273","title":"Design and Characterization of a Multistage Peptide-Based Vaccine Platform to Target <i>Mycobacterium tuberculosis</i> Infection","year":2023,"lang":"en","type":"article","venue":"Bioconjugate Chemistry","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"H2020 Marie Skłodowska-Curie Actions; Institute of Infection and Immunity; National Research, Development and Innovation Office; St. George's, University of London; Medizinische Universität Graz; Karl-Franzens-Universität Graz; Magyar Tudományos Akadémia; Innovációs és Technológiai Minisztérium; European Commission; Eötvös Loránd Tudományegyetem; Austrian Science Fund; Nemzeti Kutatási Fejlesztési és Innovációs Hivatal","keywords":"Chemistry; Mycobacterium tuberculosis; Tuberculosis; Virology; Peptide; Characterization (materials science); Microbiology; Nanotechnology; Biochemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004805948,0.0001958292,0.0004046447,0.0001261425,0.00006069164,0.00001572657,0.00005830009,0.0001908995,0.0001607988],"category_scores_gemma":[0.0003354823,0.0001777977,0.00007517426,0.0004139627,0.00004715808,0.00008106483,0.0000670283,0.0001670343,0.000060124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007059639,"about_ca_system_score_gemma":0.00008446386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000731222,"about_ca_topic_score_gemma":0.000001434515,"domain_scores_codex":[0.9986396,0.00004137427,0.0003897082,0.0003664406,0.0001740546,0.000388751],"domain_scores_gemma":[0.9990361,0.0001183155,0.0001021764,0.0002844466,0.0001391654,0.0003198336],"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":[0.0005428665,0.00006731595,0.02216861,0.0007653307,0.00005498177,0.00002740678,0.00004795556,0.00003985253,0.9745113,0.000002494236,0.001160518,0.0006113957],"study_design_scores_gemma":[0.001294846,0.0002206789,0.1196011,0.0001391325,0.00003585956,0.00004431342,0.00001059322,0.003849189,0.8678096,0.00001360771,0.006817066,0.0001640065],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947324,0.00002901096,0.002227144,0.001943311,0.00005596227,0.0006124951,0.00006844386,0.0001527306,0.0001784883],"genre_scores_gemma":[0.9958187,0.0002975811,0.001344297,0.0006640922,0.0001603471,0.0001424973,0.0009931786,0.00003684795,0.0005424416],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1067016,"threshold_uncertainty_score":0.7250379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02540995990901,"score_gpt":0.2878644355998902,"score_spread":0.2624544756908802,"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."}}