{"id":"W2947251283","doi":"10.1016/j.ijpx.2019.100018","title":"Biophysical model to predict lung delivery from a dual bronchodilator dry-powder inhaler","year":2019,"lang":"en","type":"article","venue":"International Journal of Pharmaceutics X","topic":"Inhalation and Respiratory Drug Delivery","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Novartis Pharma; Novartis","keywords":"Dry-powder inhaler; Indacaterol; Inhalation; Inhaler; Lung; Medicine; Drug delivery; Metered-dose inhaler; Aerosol; Biomedical engineering; Anesthesia; Materials science; Asthma; Internal medicine; Chemistry; Lung function; Nanotechnology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002025166,0.0001655119,0.0002870511,0.0003151768,0.00002694372,0.00004650765,0.0002465948,0.00009644845,0.0009819091],"category_scores_gemma":[0.00005317884,0.000138921,0.0002345259,0.0001052284,0.00003754061,0.0002559595,0.0001033424,0.000471412,0.0003396487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002449423,"about_ca_system_score_gemma":0.0003092691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005132379,"about_ca_topic_score_gemma":6.033915e-7,"domain_scores_codex":[0.9980007,0.00004191701,0.0005596261,0.0001840751,0.001029898,0.0001837891],"domain_scores_gemma":[0.9982115,0.00008246666,0.0002452861,0.0001395342,0.0009939478,0.0003272684],"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":[0.003537388,0.0009289351,0.04504844,0.00004953924,0.001918513,0.0008294505,0.001271604,0.02461429,0.8924364,0.0002929034,0.02139213,0.007680435],"study_design_scores_gemma":[0.01260996,0.000403188,0.007580089,0.0006460432,0.0006055267,0.0003663267,0.0002383038,0.7014524,0.2178274,0.0001165834,0.05761799,0.000536209],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992368,0.0001942729,0.001828465,0.001582805,0.002206009,0.0002093111,0.00007291377,0.000021638,0.001516553],"genre_scores_gemma":[0.989148,0.00007223074,0.001703328,0.006254837,0.001645008,0.00000200799,0.0000165613,0.00002797224,0.001130055],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6768381,"threshold_uncertainty_score":0.9999313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03036517772635205,"score_gpt":0.3421091793487168,"score_spread":0.3117440016223648,"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."}}