{"id":"W4220754841","doi":"10.1021/acs.molpharmaceut.1c00852","title":"Assessing the <i>In Vivo</i> Effectiveness of Cationic Lipid Nanoparticles with a Triple Adjuvant for Intranasal Vaccination against the Respiratory Pathogen <i>Bordetella pertussis</i>","year":2022,"lang":"en","type":"article","venue":"Molecular Pharmaceutics","topic":"Bacterial Infections and Vaccines","field":"Immunology and Microbiology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Saskatchewan","funders":"Canadian Institutes of Health Research; Government of Canada; NanoMedicines Innovation Network","keywords":"Adjuvant; Immunogenicity; Antigen; Bordetella pertussis; Immune system; Vaccination; Pertactin; Booster dose; Immunology; Medicine; Microbiology; Pertussis toxin; Immunization; Biology; Receptor; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001174694,0.0001303336,0.0001842669,0.00006501235,0.0004964414,0.00003197763,0.0002067318,0.00004962055,0.00004903332],"category_scores_gemma":[0.00004548895,0.00008263042,0.00007575455,0.0003383867,0.00005972553,0.00007293462,0.00007496258,0.0002316043,9.288139e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000696092,"about_ca_system_score_gemma":0.0001271923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001878175,"about_ca_topic_score_gemma":0.00001598667,"domain_scores_codex":[0.9981641,0.001122957,0.0002587239,0.000193873,0.00004005994,0.0002203301],"domain_scores_gemma":[0.9991597,0.0003474763,0.0001455796,0.0002330452,0.0001026767,0.00001154081],"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":[0.0002840023,0.0001624857,0.001241891,0.00004380409,0.00008783123,0.000001716467,0.0001795913,0.002217429,0.9900901,0.000383903,0.00009408546,0.005213133],"study_design_scores_gemma":[0.002531075,0.0002112789,0.00177112,0.00001842092,0.0001196598,0.00002875471,0.0003026453,0.0004728925,0.9356876,0.00005384165,0.05867457,0.0001281513],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949876,0.001926943,0.001148106,0.0003305188,0.0005012912,0.000940655,0.00006201176,0.00002153679,0.00008134737],"genre_scores_gemma":[0.9990205,0.00005323262,0.00003092112,0.0003891853,0.0000237645,0.0004073312,0.0000336999,0.00002209379,0.00001932294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05858049,"threshold_uncertainty_score":0.3818276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02250266720843519,"score_gpt":0.3082032492611566,"score_spread":0.2857005820527214,"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."}}