{"id":"W4362722926","doi":"10.1002/adhm.202300224","title":"Engineered Curli Nanofilaments as a Self‐Adjuvanted Antigen Delivery Platform","year":2023,"lang":"en","type":"article","venue":"Advanced Healthcare Materials","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"PROTEO; Cegep de Saint Hyacinthe; Université du Québec à Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Nanotechnology; Materials science; Immunology; 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":[0.00009811502,0.0003517232,0.0001351481,0.0001459878,0.00009610874,0.0001757196,0.000167054,0.0003290934,0.0003712962],"category_scores_gemma":[0.00009232361,0.0001393521,0.0001471973,0.0000849697,0.0001350282,0.0002556718,0.0001806563,0.0002489544,0.0002363816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003219009,"about_ca_system_score_gemma":0.0001898099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003521077,"about_ca_topic_score_gemma":0.0006033502,"domain_scores_codex":[0.999931,0.000009023681,0.000005620822,0.00001608259,0.00002335568,0.00001498896],"domain_scores_gemma":[0.9999477,0.00000582639,0.00002497516,0.000003995096,0.000009212927,0.000008263016],"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":[0.000006786309,0.000004961992,0.00001385465,0.00001852237,0.000001189668,0.00001187134,0.000004358249,0.000107712,0.9991792,0.00009504701,0.00001889647,0.0005375107],"study_design_scores_gemma":[0.000003865759,0.00008531957,0.000238624,0.000002513382,0.00000421203,0.00005094349,0.000003222594,0.001450698,0.9963083,0.00002695634,0.001820951,0.000004412776],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9645528,0.001804334,0.02998558,0.0001547475,0.00005609615,0.00008727521,0.000208919,0.0004262134,0.002723992],"genre_scores_gemma":[0.9717387,0.0007697277,0.02353961,0.00009719794,0.00001451562,0.0001006008,0.0001900628,0.00005031313,0.003499298],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0003712962,"threshold_uncertainty_score":0.002335548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01574554313406198,"score_gpt":0.2915681886624207,"score_spread":0.2758226455283587,"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."}}