{"id":"W3105943466","doi":"10.1080/07373937.2020.1833213","title":"Preparation and characterization of sustained release pirfenidone loaded microparticles for pulmonary drug delivery: Spray drying approach","year":2020,"lang":"en","type":"article","venue":"Drying Technology","topic":"Inhalation and Respiratory Drug Delivery","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Spray drying; Differential scanning calorimetry; Particle size; Materials science; Pirfenidone; Factorial experiment; Fourier transform infrared spectroscopy; Dynamic light scattering; Particle-size distribution; Ethyl cellulose; Chromatography; Pulmonary surfactant; Aerosol; Chemical engineering; Drug delivery; Biomedical engineering; Chemistry; Nanotechnology; Nanoparticle; Composite material; Polymer; Idiopathic pulmonary fibrosis; Organic chemistry; Medicine; Lung","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":[0.0003110191,0.0002680616,0.0003943391,0.000317788,0.0001358032,0.000179094,0.0001958688,0.0003263421,0.0004091312],"category_scores_gemma":[0.0003532818,0.0001207392,0.0003228656,0.0002000352,0.0001551079,0.0001997166,0.0001113376,0.0002976198,0.000200999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001746043,"about_ca_system_score_gemma":0.0001525315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000417666,"about_ca_topic_score_gemma":0.0005712131,"domain_scores_codex":[0.9998227,0.00001650284,0.00002119059,0.00003884199,0.00008423365,0.00001652448],"domain_scores_gemma":[0.9998462,0.00003484008,0.00004566079,0.00001274458,0.0000471441,0.0000133304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002747655,0.00001453274,0.00009115099,0.00008088385,0.000004638813,0.00006522983,0.00001614539,0.0001014743,0.9969212,0.00002878299,0.00002293086,0.002625572],"study_design_scores_gemma":[0.0000119864,0.0003689336,0.002126966,0.00000689372,0.00001980128,0.0002692249,0.00001229081,0.00102327,0.9946504,0.00001974198,0.001480814,0.000009685871],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9410998,0.005973049,0.05061211,0.00008939653,0.00005963799,0.0003311153,0.0006585912,0.0002063336,0.0009698974],"genre_scores_gemma":[0.9367957,0.003308329,0.05670201,0.00006606056,0.00002510527,0.000296492,0.0006809398,0.00004812071,0.002077301],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000417666,"threshold_uncertainty_score":0.00164485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0162074496844257,"score_gpt":0.2515159248584143,"score_spread":0.2353084751739886,"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."}}