{"id":"W2951306082","doi":"10.1109/biosmart.2019.8734231","title":"Electropneumatic design and simulation for optimal energy and medication use in air jet medical nebulizers","year":2019,"lang":"en","type":"article","venue":"","topic":"Inhalation and Respiratory Drug Delivery","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Jet (fluid); Energy (signal processing); Computer science; Automotive engineering; Engineering; Physics; Aerospace engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004038987,0.0004023747,0.0004445763,0.000356792,0.0003087908,0.0005556989,0.0005534429,0.001022776,0.00287341],"category_scores_gemma":[0.0010531,0.0002729412,0.0006011314,0.0001765737,0.0003736934,0.000365456,0.0004122482,0.0003665092,0.000190269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004198816,"about_ca_system_score_gemma":0.0007347454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005001501,"about_ca_topic_score_gemma":0.002918856,"domain_scores_codex":[0.9998442,0.00005330813,0.000008411886,0.000022765,0.000045853,0.00002534732],"domain_scores_gemma":[0.9996197,0.0002494702,0.00004032793,0.00001585403,0.00006073265,0.00001390555],"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":[0.00004184588,0.00003175656,0.0004267763,0.00003674415,0.000007129532,0.00003548083,0.00002407087,0.994541,0.001421345,0.0009807821,0.00007790777,0.002375146],"study_design_scores_gemma":[0.00001245147,0.00004085106,0.0001026632,0.000004118754,0.000005324815,0.000004869587,0.000008634428,0.9988666,0.0005044269,0.0001956068,0.0002524014,0.000002013915],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3519808,0.0005702793,0.6206938,0.0004808332,0.0001252787,0.000355071,0.0002729969,0.0006695135,0.02485139],"genre_scores_gemma":[0.9736984,0.0001891869,0.02233795,0.00003863258,0.00000672929,0.0002675724,0.00006448002,0.00002358395,0.003373521],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005001501,"threshold_uncertainty_score":0.009944797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02080666577481801,"score_gpt":0.2795025011965955,"score_spread":0.2586958354217775,"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."}}