{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007484659,0.00009573454,0.0002191082,0.0001455133,0.00007177072,0.000003913924,0.00002247837,0.00004756718,0.00003806744],"category_scores_gemma":[0.00007615295,0.00008379607,0.00002697616,0.0001437725,0.00005850945,0.0001620369,0.00002304031,0.00006639515,3.880825e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004813163,"about_ca_system_score_gemma":0.0003327047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002958912,"about_ca_topic_score_gemma":0.000006031483,"domain_scores_codex":[0.9989136,0.00006976311,0.0004579313,0.0001437481,0.0002836258,0.0001312835],"domain_scores_gemma":[0.9994639,0.00006390954,0.0001265038,0.00005520417,0.0002188852,0.00007159788],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002216395,0.000387347,0.5518067,0.0002214337,0.00008533137,0.000005839706,0.003862005,0.0001378968,0.3527021,0.00003492837,0.000755954,0.08778398],"study_design_scores_gemma":[0.007801235,0.00003426426,0.03050708,0.0001255823,0.00008341552,0.00000880369,0.0002676656,0.01047004,0.9486148,0.00001233032,0.001970526,0.0001042756],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984003,0.0005210493,0.000002514668,0.0001009651,0.00008341766,0.0007838116,0.000006692296,0.000007780635,0.00009344988],"genre_scores_gemma":[0.9995155,0.00008571205,0.0001750382,0.00004038966,0.00005476498,0.00003698532,0.00001380337,0.000007795797,0.00006995313],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5959126,"threshold_uncertainty_score":0.3417105,"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."}}