{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00164037,0.0003459947,0.0004597077,0.00005786238,0.0004257557,0.0000888276,0.0001534762,0.0001985345,0.0004036963],"category_scores_gemma":[0.0007375772,0.0001845378,0.0002156322,0.0003844363,0.0004600136,0.0003378062,0.00006351983,0.0006006789,0.00004167462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001724484,"about_ca_system_score_gemma":0.00006833929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003358011,"about_ca_topic_score_gemma":0.000007238572,"domain_scores_codex":[0.9973558,0.0006549259,0.0004961967,0.0003197415,0.0005733516,0.0005999574],"domain_scores_gemma":[0.9979243,0.0009227028,0.0001964168,0.0004576883,0.0001422559,0.0003565811],"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":[0.001106294,0.0002387112,0.01155709,0.00008045256,0.0002352296,0.000003870672,0.0005763903,0.00001405226,0.9811032,0.00009877626,0.002500796,0.002485069],"study_design_scores_gemma":[0.01197787,0.0005202779,0.006326867,0.00009343748,0.0008840482,0.00006977992,0.0003159323,0.02058682,0.9548995,0.000003618698,0.003884414,0.0004374367],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939252,0.00144959,0.0005566395,0.002019717,0.0003615189,0.001309093,0.0002151631,0.0000811346,0.00008190341],"genre_scores_gemma":[0.9978293,0.0000933097,0.00001999157,0.001013567,0.0004094772,0.00007116257,0.0001160421,0.00004263227,0.0004045553],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02620377,"threshold_uncertainty_score":0.7525231,"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."}}