{"id":"W2756445287","doi":"10.1016/j.ijpharm.2017.09.047","title":"Design and pharmaceutical applications of a low-flow-rate single-nozzle impactor","year":2017,"lang":"en","type":"article","venue":"International Journal of Pharmaceutics","topic":"Inhalation and Respiratory Drug Delivery","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Alberta Innovates","keywords":"Nozzle; Volumetric flow rate; Pharmaceutical technology; Materials science; Process engineering; Chemistry; Mechanics; Chromatography; Mechanical engineering; Engineering; Physics","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":[0.0007505636,0.0005240329,0.0004734243,0.0004325152,0.0004633322,0.0008677607,0.001062514,0.0009531053,0.00205233],"category_scores_gemma":[0.0006507086,0.0003585342,0.0006001724,0.0003344032,0.0002901476,0.0007931182,0.0005421932,0.0004497838,0.0005664356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005369759,"about_ca_system_score_gemma":0.0009224802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004478229,"about_ca_topic_score_gemma":0.0006480582,"domain_scores_codex":[0.9995303,0.00003112707,0.00002832558,0.00008653347,0.0002654982,0.00005824072],"domain_scores_gemma":[0.9996737,0.00006870478,0.00008838551,0.00002612167,0.00009654569,0.00004648067],"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":[0.0003680036,0.0001058354,0.001038411,0.0003521392,0.00002032008,0.000120592,0.00003382002,0.00407295,0.9662326,0.0008646862,0.0003065636,0.02648414],"study_design_scores_gemma":[0.0001593341,0.003313405,0.006912334,0.00002467751,0.00008235969,0.0004915186,0.00005514744,0.06699575,0.9108959,0.0002721497,0.01073485,0.00006261915],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6281415,0.005282247,0.3533024,0.0006790147,0.0004077765,0.001126582,0.0004889381,0.001446306,0.009125216],"genre_scores_gemma":[0.8798724,0.00147579,0.1128979,0.0001269994,0.00006265811,0.0002255833,0.0002432317,0.00006356476,0.005031932],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.00205233,"threshold_uncertainty_score":0.00686574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08292817965649261,"score_gpt":0.4089063931125955,"score_spread":0.3259782134561028,"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."}}