{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004558514,0.0003763162,0.0002256871,0.0001583276,0.0001297191,0.0002498697,0.0002023448,0.0005560481,0.0006365797],"category_scores_gemma":[0.0003050745,0.0001553006,0.0002719956,0.0001151085,0.0002251266,0.0003291891,0.00009892371,0.0005883365,0.0002275114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000276819,"about_ca_system_score_gemma":0.0002170459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007482821,"about_ca_topic_score_gemma":0.0007137253,"domain_scores_codex":[0.9997416,0.00006539753,0.0000239994,0.00005199184,0.00004863502,0.00006845633],"domain_scores_gemma":[0.9997136,0.0000849606,0.00006736883,0.00002529046,0.00005658587,0.00005224023],"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":[0.0009014543,0.0004472829,0.0002161688,0.0000360777,0.00001223992,0.00001782323,0.00001794393,0.0002252918,0.9967877,0.00003769146,0.00003904224,0.001261308],"study_design_scores_gemma":[0.00005192374,0.008700701,0.001255185,0.000003254361,0.00003179088,0.0000437894,0.00001348527,0.001101696,0.9884295,0.00001714626,0.0003461736,0.000005235717],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964694,0.0003598718,0.001900178,0.00005575353,0.00003946563,0.00007719897,0.0001123299,0.00003002462,0.0009557696],"genre_scores_gemma":[0.9956948,0.0003748181,0.002150818,0.00005710921,0.00001834123,0.00008529631,0.0002797919,0.00001722552,0.001321645],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007482821,"threshold_uncertainty_score":0.002410829,"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."}}