{"id":"W3112742288","doi":"10.1080/15412555.2020.1853091","title":"Lung Deposition Using the Respimat<sup>®</sup> Soft Mist™ Inhaler Mono and Fixed-Dose Combination Therapies: An <i>In Vitro</i>/<i>In Silico</i> Analysis","year":2020,"lang":"en","type":"article","venue":"COPD Journal of Chronic Obstructive Pulmonary Disease","topic":"Inhalation and Respiratory Drug Delivery","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Boehringer Ingelheim","keywords":"Inhaler; In silico; COPD; Pulmonary disease; In vitro; Mist; Deposition (geology); Lung; Medicine; Dry-powder inhaler; Materials science; Chemistry; Biology; Internal medicine; Asthma; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005588434,0.0003358166,0.0006160567,0.0002266186,0.0001554329,0.0006629709,0.0003802639,0.0005318229,0.001175115],"category_scores_gemma":[0.0003568244,0.0002299459,0.0007856681,0.0001951349,0.0002576569,0.0003600866,0.0002947854,0.0005164645,0.0004114233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004174924,"about_ca_system_score_gemma":0.0002961073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009680239,"about_ca_topic_score_gemma":0.001078983,"domain_scores_codex":[0.9995717,0.00006385347,0.00002397334,0.00007054521,0.0002274239,0.00004245461],"domain_scores_gemma":[0.9996839,0.0001463844,0.00006646354,0.00002406218,0.0000584549,0.00002065531],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003829635,0.0002062865,0.002313827,0.0006281942,0.0000536398,0.0003113716,0.0001142507,0.01749018,0.9634067,0.0003502348,0.0003464682,0.01439579],"study_design_scores_gemma":[0.00005013546,0.003587884,0.008456041,0.00005241464,0.0001440953,0.000572181,0.0001752796,0.09228434,0.8895285,0.0001582692,0.004945233,0.00004571625],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9595479,0.004440517,0.02964369,0.0001886923,0.00008612263,0.0002052773,0.0006738307,0.0001991951,0.00501472],"genre_scores_gemma":[0.9789386,0.002598071,0.01559016,0.0001205476,0.0000188502,0.0001203238,0.0003263034,0.0000575063,0.002229519],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001175115,"threshold_uncertainty_score":0.003931105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01415744251300859,"score_gpt":0.2641578526374065,"score_spread":0.2500004101243979,"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."}}