{"id":"W4381951974","doi":"10.1016/j.ejpb.2023.06.015","title":"Engineered dry powders for the nose-to-brain delivery of transforming growth factor-beta","year":2023,"lang":"en","type":"article","venue":"European Journal of Pharmaceutics and Biopharmaceutics","topic":"Inhalation and Respiratory Drug Delivery","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"British Columbia Institute of Technology; St. Paul's Hospital; University of British Columbia","funders":"","keywords":"Nose; Nasal administration; PLGA; Drug delivery; Chemistry; Biomedical engineering; Dry-powder inhaler; Lecithin; Nanoparticle; Biophysics; Nanotechnology; Materials science; Pharmacology; Chromatography; Anatomy; Medicine; Biology; Internal medicine; Inhaler","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001490505,0.0002152944,0.0003409699,0.0004018683,0.0001554233,0.00003178672,0.0002181708,0.00004261606,0.00003193705],"category_scores_gemma":[0.00009983626,0.0001450095,0.0002647284,0.0004777841,0.0001188865,0.00009367149,0.00005566497,0.0004097334,0.00001401653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002971223,"about_ca_system_score_gemma":0.0001064682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":5.159535e-7,"about_ca_topic_score_gemma":1.453285e-7,"domain_scores_codex":[0.9982696,0.0001448865,0.0007284946,0.000151604,0.0003855836,0.0003198759],"domain_scores_gemma":[0.9983041,0.0004380658,0.000264275,0.0001271491,0.0005137802,0.0003526721],"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":[0.001476354,0.0001738708,0.002053217,0.0008206916,0.0009486775,0.0003838618,0.003990563,0.000799557,0.8981232,0.0001396678,0.004691675,0.08639865],"study_design_scores_gemma":[0.01008401,0.0009364999,0.003573163,0.000331881,0.001176247,0.0002007363,0.001973171,0.01916005,0.6055556,0.000009207676,0.3565588,0.0004406169],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9857172,0.002172939,0.002643618,0.007372958,0.001012694,0.0006428748,0.00009673215,0.0000447204,0.0002962729],"genre_scores_gemma":[0.9919906,0.003426367,0.0005139055,0.00333112,0.0004806843,0.000001466415,0.000005383098,0.00005680762,0.0001936808],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3518672,"threshold_uncertainty_score":0.5913316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06652631544628525,"score_gpt":0.3330419547715232,"score_spread":0.266515639325238,"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."}}