{"id":"W2151585210","doi":"10.1080/03639040802149079","title":"Formulation and In Vivo Evaluation of Effervescent Inhalable Carrier Particles for Pulmonary Delivery of Nanoparticles","year":2008,"lang":"en","type":"article","venue":"Drug Development and Industrial Pharmacy","topic":"Inhalation and Respiratory Drug Delivery","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Cancer Institute; Natural Sciences and Engineering Research Council of Canada","keywords":"Particle size; Nanoparticle; Drug carrier; Spray drying; Dissolution; Dry-powder inhaler; Particle-size distribution; Materials science; In vivo; Microparticle; Chromatography; Particle (ecology); Aerosol; Dissolution testing; Drug delivery; Pharmacology; Chemistry; Nanotechnology; Chemical engineering; Medicine; Inhaler; Organic chemistry; 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":[0.0005480063,0.0003075472,0.0003172453,0.0001592376,0.0001352867,0.0001956978,0.0002208543,0.0003946742,0.0004613342],"category_scores_gemma":[0.0004189033,0.000105751,0.000170741,0.0000557861,0.0001900045,0.0003569846,0.00009381628,0.0002518194,0.0001534233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002096861,"about_ca_system_score_gemma":0.0001846791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003721066,"about_ca_topic_score_gemma":0.0004464562,"domain_scores_codex":[0.9998035,0.00005095588,0.00001213451,0.00003728524,0.0000742446,0.00002190319],"domain_scores_gemma":[0.9998307,0.00005314518,0.00005079415,0.00001593351,0.00003288712,0.00001647655],"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":[0.00008474914,0.00007468757,0.00009347092,0.0000289394,0.000005447716,0.00004143789,0.00001043077,0.0001217009,0.9971902,0.00002810784,0.00001677314,0.002304038],"study_design_scores_gemma":[0.00003465201,0.002372373,0.0008351638,0.000004282861,0.00001819302,0.000165412,0.000009366645,0.001179443,0.9945222,0.00001745766,0.0008377155,0.000003854202],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9872041,0.002640337,0.009128089,0.00008015019,0.00004061345,0.000125105,0.0000478836,0.00004380006,0.0006900334],"genre_scores_gemma":[0.985692,0.001909328,0.01034124,0.00006964995,0.00004061483,0.0000882754,0.0002207492,0.00002855638,0.001609488],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005480063,"threshold_uncertainty_score":0.002898157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1183902697185036,"score_gpt":0.3199821577575301,"score_spread":0.2015918880390264,"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."}}