{"id":"W2033386809","doi":"10.1208/s12249-012-9797-0","title":"Effect of Sampling Volume on Dry Powder Inhaler (DPI)-Emitted Aerosol Aerodynamic Particle Size Distributions (APSDs) Measured by the Next-Generation Pharmaceutical Impactor (NGI) and the Andersen Eight-Stage Cascade Impactor (ACI)","year":2012,"lang":"en","type":"article","venue":"AAPS PharmSciTech","topic":"Inhalation and Respiratory Drug Delivery","field":"Medicine","cited_by":44,"is_retracted":false,"has_abstract":false,"ca_institutions":"Trudell Medical International (Canada)","funders":"","keywords":"Cascade impactor; Aerosol; Dry-powder inhaler; Particle size; Dead space; Inhaler; Volume (thermodynamics); Aerodynamic diameter; Particle (ecology); Particle-size distribution; Cascade; Mechanics; Materials science; Environmental science; Analytical Chemistry (journal); Chemistry; Chromatography; Meteorology; Medicine; Thermodynamics; Anesthesia; Asthma; Physics; Internal medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002109765,0.0006597976,0.000559744,0.0002531554,0.0003293888,0.001211923,0.0003477956,0.0005863495,0.001271276],"category_scores_gemma":[0.006113074,0.000595719,0.0005072419,0.0002683372,0.0006004715,0.0005302975,0.000355444,0.0004723094,0.0002751574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003153585,"about_ca_system_score_gemma":0.0006047503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002220759,"about_ca_topic_score_gemma":0.002382344,"domain_scores_codex":[0.9983062,0.0005652553,0.0001599664,0.0003296759,0.0004699934,0.0001689635],"domain_scores_gemma":[0.9943621,0.004355242,0.000300825,0.0003040021,0.000523637,0.0001541925],"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":[0.03013412,0.0007410592,0.02211639,0.0002797215,0.0002313953,0.0002067443,0.0004460653,0.002114868,0.9075351,0.0001412748,0.0004773404,0.03557596],"study_design_scores_gemma":[0.0002495176,0.008405549,0.06636968,0.00001928892,0.0002882664,0.0002186842,0.0001845528,0.006889773,0.9159601,0.00008615995,0.001285331,0.00004310013],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908592,0.001223472,0.00612651,0.0001024209,0.0001764651,0.0001201981,0.0004538465,0.0002055921,0.0007323],"genre_scores_gemma":[0.9896119,0.0005059846,0.00800965,0.0002079646,0.00006373335,0.00009127561,0.0005364647,0.00009397608,0.0008791641],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002220759,"threshold_uncertainty_score":0.01115763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05800915737776779,"score_gpt":0.336852489667314,"score_spread":0.2788433322895462,"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."}}