{"id":"W2062945759","doi":"10.1016/j.jconrel.2005.02.017","title":"Effect of porosity on the release kinetics of propafenone-loaded PEG-g-PLA nanoparticles","year":2005,"lang":"en","type":"article","venue":"Journal of Controlled Release","topic":"Advanced Drug Delivery Systems","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":80,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Porosity; Chemical engineering; Nanoparticle; Controlled release; Chemistry; Porosimetry; Materials science; PEG ratio; Solvent; Drug carrier; Kinetics; Chromatography; Drug delivery; Nanotechnology; Organic chemistry; Porous medium","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":[],"consensus_categories":[],"category_scores_codex":[0.002558298,0.0002893194,0.001153706,0.0001755615,0.0001117128,0.00001008917,0.0004420261,0.0002339918,0.000265815],"category_scores_gemma":[0.001474778,0.000169532,0.000504432,0.000217676,0.0003070123,0.000139006,0.00004586352,0.0009673482,0.00003799023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009579831,"about_ca_system_score_gemma":0.0001123312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004591818,"about_ca_topic_score_gemma":0.000002539164,"domain_scores_codex":[0.9950824,0.002396016,0.001472479,0.0001707808,0.0005254215,0.0003528492],"domain_scores_gemma":[0.9932162,0.003688168,0.002009513,0.0003210084,0.0004847824,0.0002803055],"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":[0.04760084,0.001172199,0.0007158997,0.000132165,0.0006397538,0.0001228862,0.0003034444,0.02091677,0.9077216,0.0003865676,0.002286787,0.01800107],"study_design_scores_gemma":[0.02643327,0.003714731,0.0001891581,0.0001336703,0.0008618706,0.0001261123,0.00007867272,0.003525405,0.9549136,0.00005897279,0.00979512,0.0001693973],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926237,0.002717088,0.0001171342,0.001989028,0.0006029368,0.001036277,0.00002797726,0.00001590162,0.0008699873],"genre_scores_gemma":[0.9983306,0.0002150941,0.00008369506,0.0005282008,0.0004398745,0.00001821271,9.047e-7,0.00002592383,0.0003575111],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.047192,"threshold_uncertainty_score":0.6913316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03584171837285371,"score_gpt":0.3740981855907597,"score_spread":0.338256467217906,"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."}}