{"id":"W1986877713","doi":"10.1016/j.ejpb.2006.10.021","title":"Effervescent dry powder for respiratory drug delivery","year":2006,"lang":"en","type":"article","venue":"European Journal of Pharmaceutics and Biopharmaceutics","topic":"Inhalation and Respiratory Drug Delivery","field":"Medicine","cited_by":85,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Dry-powder inhaler; Particle size; Nanoparticle; Drug carrier; Particle (ecology); Drug delivery; Chemistry; Spray drying; Chemical engineering; Lactose; Chromatography; Materials science; Nanotechnology; Inhaler; Organic chemistry; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001779826,0.0002707858,0.0003837901,0.0003012139,0.0001848111,0.00006621232,0.0001527788,0.00004876559,0.00005228909],"category_scores_gemma":[0.00003342936,0.0002165975,0.0002841285,0.0001727951,0.0001696962,0.0001301218,0.0000681894,0.0004977055,0.00002015384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007267384,"about_ca_system_score_gemma":0.000142287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.779742e-7,"about_ca_topic_score_gemma":5.216261e-7,"domain_scores_codex":[0.9978077,0.0002859368,0.00091457,0.0002159942,0.0003920531,0.0003837619],"domain_scores_gemma":[0.9982288,0.0001054949,0.0004737203,0.0001525798,0.00063832,0.0004010081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003442734,0.00135156,0.03391996,0.001233739,0.0006579781,0.002203183,0.0004678349,0.0002110383,0.8257779,0.0003068868,0.03298135,0.09744581],"study_design_scores_gemma":[0.01027272,0.0004062227,0.005065307,0.000185407,0.0007772658,0.0002398735,0.0001480497,0.001610441,0.2365464,0.00002272137,0.7443855,0.0003400674],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9842846,0.01092056,0.0004388005,0.0008419304,0.001038721,0.0004274074,0.00002902477,0.00003878765,0.001980104],"genre_scores_gemma":[0.9891405,0.001141663,0.001511407,0.005693647,0.001871821,0.000001317304,0.000007739836,0.00007282732,0.0005590591],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7114042,"threshold_uncertainty_score":0.8832592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04160461486442595,"score_gpt":0.3172158560412613,"score_spread":0.2756112411768354,"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."}}