{"id":"W2414348681","doi":"10.1186/s12951-016-0200-2","title":"Influence of PapMV nanoparticles on the kinetics of the antibody response to flu vaccine","year":2016,"lang":"en","type":"article","venue":"Journal of Nanobiotechnology","topic":"Virology and Viral Diseases","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University; Université Laval","funders":"Canadian Institutes of Health Research","keywords":"Kinetics; Antibody response; Virology; Antibody; Nanoparticle; Chemistry; Nanotechnology; Medicine; Immunology; Materials science; Physics","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":[0.000238246,0.0002140798,0.0001195511,0.0001136322,0.00006344706,0.0001886474,0.00008960206,0.0002080395,0.0009738606],"category_scores_gemma":[0.0005133364,0.00009643161,0.0001572295,0.00005083822,0.0001118906,0.0001874881,0.0000969141,0.000294409,0.0002164972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001642866,"about_ca_system_score_gemma":0.0001017313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003340597,"about_ca_topic_score_gemma":0.0002907274,"domain_scores_codex":[0.999897,0.00002889799,0.000007941978,0.0000170675,0.00002023374,0.00002876831],"domain_scores_gemma":[0.9996728,0.0001837831,0.00004468757,0.00001517284,0.00005554017,0.000028032],"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":[0.0005573946,0.00006499358,0.0003761859,0.00008541379,0.000008655083,0.0000343096,0.00002332871,0.0003022521,0.9946405,0.00006214466,0.00006831937,0.003776399],"study_design_scores_gemma":[0.00001107432,0.0007754202,0.001255664,0.000006410928,0.00001431594,0.00003749748,0.00001080745,0.0008873212,0.996141,0.0000182623,0.0008384452,0.000003717866],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946031,0.002019683,0.001574285,0.00006216028,0.00005917426,0.00002621013,0.00009953525,0.00003908913,0.001516789],"genre_scores_gemma":[0.9969233,0.0005825155,0.001434981,0.00004459536,0.00001792311,0.00002784045,0.00008450737,0.00001440664,0.0008698805],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009738606,"threshold_uncertainty_score":0.003257871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009302495613975012,"score_gpt":0.2795227077339268,"score_spread":0.2702202121199518,"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."}}