{"id":"W2075754394","doi":"10.3390/ma1010025","title":"Modulating the Release Kinetics of Paclitaxel from Membrane-Covered Stents Using Different Loading Strategies","year":2008,"lang":"en","type":"article","venue":"Materials","topic":"Polymer Surface Interaction Studies","field":"Materials Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Heart Institute; McGill University","funders":"Canadian Institutes of Health Research; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Membrane; Paclitaxel; Hyaluronic acid; Polyethylene oxide; Materials science; Adhesion; Chitosan; Viability assay; Chemical engineering; Monolayer; Extended release; Chemistry; Polymer chemistry; Biophysics; Biomedical engineering; Cell; Nanotechnology; Composite material; Pharmacology; Surgery; Organic chemistry; Biochemistry; Polymer; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001474731,0.0002708681,0.0002029682,0.0001386738,0.00009239179,0.0003230368,0.0001376108,0.0002968818,0.0005714364],"category_scores_gemma":[0.000226861,0.0001534571,0.0001840276,0.0001467346,0.0001098718,0.000343343,0.0001088304,0.0002398521,0.0002784966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002343055,"about_ca_system_score_gemma":0.0001294569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002789885,"about_ca_topic_score_gemma":0.0004305072,"domain_scores_codex":[0.9999032,0.00001442776,0.000009929569,0.00001878178,0.00002193824,0.00003169717],"domain_scores_gemma":[0.9999096,0.00002801804,0.00002771886,0.00000866487,0.00001218665,0.0000137523],"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":[0.0001387868,0.00002204897,0.0000580908,0.00001957615,0.000003316836,0.00002212265,0.00001207423,0.0000857246,0.9983931,0.00002698854,0.00001494671,0.001203251],"study_design_scores_gemma":[0.000009523629,0.0002128295,0.0004604244,0.000001365312,0.000009834153,0.0000295804,0.000004887248,0.0008344109,0.9980142,0.000004687669,0.0004145397,0.000003721587],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975148,0.0005884526,0.001292084,0.00002525877,0.00001236268,0.00002090589,0.0000673133,0.00002754979,0.0004513242],"genre_scores_gemma":[0.9948981,0.0007535082,0.002843327,0.00002126828,0.0000139122,0.00003782694,0.0001184997,0.00002415371,0.001289479],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005714364,"threshold_uncertainty_score":0.00191164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06117181777717333,"score_gpt":0.2831650574440306,"score_spread":0.2219932396668573,"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."}}