{"id":"W3046143083","doi":"10.1016/j.ijpharm.2020.119706","title":"Novel combination of non-invasive morphological and solid-state characterisation of drug-loaded core-shell electrospun fibres","year":2020,"lang":"en","type":"article","venue":"International Journal of Pharmaceutics","topic":"Electrospun Nanofibers in Biomedical Applications","field":"Materials Science","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Innovációs és Technológiai Minisztérium; Queen's University; Queen's University Belfast","keywords":"Polylactic acid; Materials science; Raman spectroscopy; Drug delivery; Chemical engineering; Naproxen; Scanning electron microscope; Nanotechnology; Shell (structure); X-ray photoelectron spectroscopy; Dosage form; Naproxen Sodium; Chemistry; Composite material; Chromatography; Polymer","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001903233,0.0003901236,0.0002060703,0.0002840726,0.0001432454,0.0002921147,0.0002279151,0.0004780058,0.0009150199],"category_scores_gemma":[0.0002833579,0.0001776491,0.0002106301,0.0001500567,0.0002473328,0.000565301,0.0002231262,0.0003167958,0.0002552842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001842102,"about_ca_system_score_gemma":0.00009906625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002872482,"about_ca_topic_score_gemma":0.0008420247,"domain_scores_codex":[0.9998084,0.0000124767,0.00001010774,0.00006725004,0.0000795216,0.00002227307],"domain_scores_gemma":[0.9997355,0.00006968583,0.00008099106,0.00002988847,0.00005820615,0.00002564229],"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":[0.00002017735,0.000003625394,0.0000251918,0.00001169155,0.000001084145,0.00001146211,0.000005385356,0.00002362201,0.9990985,0.00001374382,0.000009511844,0.0007759485],"study_design_scores_gemma":[0.000002353578,0.00003915873,0.000959713,0.000001737429,0.000002943174,0.00004425893,0.000004565107,0.0009772156,0.9976521,0.00001222849,0.0002998222,0.000003907783],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9631208,0.0009818459,0.03171701,0.0001089186,0.00008454182,0.00005649036,0.000396611,0.0003526387,0.003181161],"genre_scores_gemma":[0.9751398,0.0004802873,0.01964721,0.00004567834,0.00002479782,0.00005772984,0.0001844056,0.0000660631,0.004354026],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009150199,"threshold_uncertainty_score":0.003061056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03753507579192417,"score_gpt":0.3402552433292172,"score_spread":0.3027201675372931,"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."}}