{"id":"W2794177593","doi":"10.1002/cnm.2968","title":"Regional deposition of nasal sprays in adults: A wide ranging computational study","year":2018,"lang":"en","type":"article","venue":"International Journal for Numerical Methods in Biomedical Engineering","topic":"Allergic Rhinitis and Sensitization","field":"Medicine","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Particle deposition; Penetration (warfare); Nasal spray; Materials science; Deposition (geology); Nose; Biomedical engineering; Nasal cavity; Olfactory epithelium; Mechanics; Airway; Nasal administration; Anatomy; Medicine; Composite material; Physics; Anesthesia; Olfactory system; Mathematics; Geology; Range (aeronautics)","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":[0.0009468751,0.0001325403,0.0003332173,0.0006434993,0.00003272792,0.00001926149,0.0001426701,0.00009387085,0.00007942611],"category_scores_gemma":[0.00131016,0.0001207865,0.0001140539,0.0003896392,0.00007617295,0.0001134368,0.00003674675,0.0003068736,0.000002913986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002217465,"about_ca_system_score_gemma":0.00008272407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003451409,"about_ca_topic_score_gemma":0.000002165348,"domain_scores_codex":[0.9980733,0.0001009114,0.0008009286,0.0002006431,0.0006123424,0.0002118386],"domain_scores_gemma":[0.998569,0.0006762575,0.0001570966,0.00006380761,0.0003962076,0.0001376444],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.02340279,0.01444607,0.1168914,0.0007142053,0.002828702,0.003206606,0.01913189,0.1865118,0.04901734,0.00637094,0.003017002,0.5744613],"study_design_scores_gemma":[0.008417976,0.001368398,0.05007748,0.001201771,0.00002593862,0.0009474615,0.0005102523,0.9344793,0.0004856516,0.0009171633,0.001351241,0.0002173369],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1764658,0.00004643562,0.8213679,0.0008210954,0.0009764307,0.0002374913,0.000004266411,0.00001443086,0.00006622425],"genre_scores_gemma":[0.6170493,0.00001376273,0.382241,0.000164692,0.0004675649,0.0000121548,0.00002581649,0.00001625065,0.000009395374],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7479676,"threshold_uncertainty_score":0.4925529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0247053576985174,"score_gpt":0.3859096991566804,"score_spread":0.361204341458163,"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."}}