{"id":"W2061383087","doi":"10.1007/s10237-009-0160-7","title":"Modeling of drug delivery into tissues with a microneedle array using mixture theory","year":2009,"lang":"en","type":"article","venue":"Biomechanics and Modeling in Mechanobiology","topic":"Advancements in Transdermal Drug Delivery","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Drug delivery; Mixture theory; Materials science; Biomedical engineering; Transient (computer programming); Porous medium; Absorption (acoustics); Phase (matter); Drug; Biological system; Mechanics; Porosity; Nanotechnology; Computer science; Chemistry; Mixture model; Composite material; Pharmacology; Physics; Engineering; Artificial intelligence; Medicine","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001000928,0.000356456,0.0005329545,0.0003794837,0.0001724606,0.000009602329,0.0002847592,0.0004656517,0.00004254278],"category_scores_gemma":[0.0000191961,0.0003189569,0.00006735186,0.0002683492,0.00009829352,0.0001190816,0.00006788319,0.000577069,0.000002565959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008148013,"about_ca_system_score_gemma":0.00008728994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001447069,"about_ca_topic_score_gemma":0.00006565615,"domain_scores_codex":[0.9978051,0.0003522101,0.000561681,0.0005634873,0.0001152691,0.0006022482],"domain_scores_gemma":[0.9992718,0.00009832499,0.0001292325,0.000234053,0.0001336016,0.0001330531],"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":[0.0009969315,0.0002271578,0.00001803414,0.00007608015,0.00009971661,0.0000225064,0.00190987,0.1486919,0.8291384,0.004977873,0.000002947563,0.01383858],"study_design_scores_gemma":[0.00127302,0.0002690349,1.741821e-7,0.00009500262,0.000105622,0.00003550356,0.0007698789,0.8597242,0.1001785,0.03707531,0.0001384022,0.0003353739],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6433876,0.003566846,0.3522657,0.0001035982,0.0002710443,0.0002944685,0.00002384968,0.00003819964,0.00004871416],"genre_scores_gemma":[0.9772036,0.001770121,0.02010097,0.0007574678,0.00006836488,0.0000135142,0.0000304796,0.00003170946,0.00002373418],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7289599,"threshold_uncertainty_score":0.9999263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07078441372067346,"score_gpt":0.3696480070634311,"score_spread":0.2988635933427576,"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."}}