{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016438,0.0003130178,0.000230407,0.0001246788,0.00008910497,0.0002501567,0.000310046,0.0003931372,0.0006987649],"category_scores_gemma":[0.0001423666,0.0001604785,0.0002042105,0.00008798444,0.0001088224,0.0002058056,0.0001739403,0.0003145351,0.0004199142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001928162,"about_ca_system_score_gemma":0.0001820169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002081421,"about_ca_topic_score_gemma":0.0002329788,"domain_scores_codex":[0.9999143,0.00001124554,0.000007752433,0.00002090775,0.00002464212,0.0000211321],"domain_scores_gemma":[0.9999205,0.00001140031,0.00002069674,0.000008043567,0.00001604557,0.00002323203],"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":[0.00002262157,0.00002026356,0.0000457715,0.0000188991,0.000001460342,0.00001833385,0.000004847025,0.0002277571,0.9989516,0.00002052789,0.00001228917,0.0006556856],"study_design_scores_gemma":[0.00001581716,0.0007636002,0.001043432,0.000003600331,0.000007904667,0.00009054353,0.000008935038,0.002493671,0.9942595,0.00002275091,0.001285088,0.000005268999],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9809769,0.0004967208,0.01664206,0.00008497308,0.00002092348,0.0003061977,0.000378613,0.0001096497,0.0009839539],"genre_scores_gemma":[0.9647896,0.0006009015,0.03116653,0.00009706229,0.00001288005,0.0002515279,0.0008895345,0.00003341551,0.002158568],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006987649,"threshold_uncertainty_score":0.002337635,"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."}}