{"id":"W4411216306","doi":"10.21203/rs.3.rs-6785337/v1","title":"Experimental and Computational Analysis of pMDI Aerosol Transport in Pediatric Airways: Impact of Inhalation Flow, Mucus Rheology, and Actuation Timing","year":2025,"lang":"en","type":"preprint","venue":"Research Square","topic":"Inhalation and Respiratory Drug Delivery","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lakehead University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Aerosol; Mucus; Inhalation; Rheology; Mechanics; Flow (mathematics); Medicine; Environmental science; Materials science; Physics; Meteorology; Anesthesia; Biology; Composite material; Ecology","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":[0.000353811,0.0002990567,0.0004297081,0.0002836185,0.0003990849,0.0005871875,0.0006938491,0.0007403518,0.002661991],"category_scores_gemma":[0.00127258,0.0001884927,0.0003502581,0.0003164885,0.0004534644,0.0004126484,0.0003973816,0.0005975298,0.000317971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005235558,"about_ca_system_score_gemma":0.0006017181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00274383,"about_ca_topic_score_gemma":0.001231384,"domain_scores_codex":[0.9998043,0.00002712427,0.00001345411,0.00003702477,0.0000662649,0.00005176261],"domain_scores_gemma":[0.9993617,0.0004003144,0.00005560624,0.00006206881,0.00008904761,0.00003127293],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002058492,0.001307272,0.02005051,0.0009805781,0.00006081035,0.001010321,0.0004179895,0.49584,0.4369329,0.005444511,0.002814939,0.03308158],"study_design_scores_gemma":[0.00008522094,0.0008121648,0.009239634,0.00002853561,0.00002279703,0.0001735944,0.0001640185,0.8299585,0.1575792,0.0004294791,0.00147381,0.00003303948],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864457,0.0005558798,0.008447737,0.0002902105,0.00005536942,0.0000568697,0.0006983449,0.0001597239,0.003290181],"genre_scores_gemma":[0.9959068,0.0002030737,0.00297779,0.00002283568,0.00001354486,0.00003208564,0.0002376766,0.00002333783,0.0005828197],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00274383,"threshold_uncertainty_score":0.008905292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05785717017213871,"score_gpt":0.4147623860563595,"score_spread":0.3569052158842208,"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."}}