{"id":"W2943363267","doi":"10.1080/09205063.2019.1580663","title":"Altering the release of tobramycin by incorporating poly(ethylene glycol) into model silicone hydrogel contact lens materials","year":2019,"lang":"en","type":"article","venue":"Journal of Biomaterials Science Polymer Edition","topic":"Ocular Surface and Contact Lens","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; McMaster University","keywords":"Self-healing hydrogels; Ethylene glycol; PEG ratio; Silicone; Drug delivery; Materials science; Swelling; Chemical engineering; Wetting; Polymer; Contact lens; Polydimethylsiloxane; Ethylene oxide; Controlled release; Polymer chemistry; Nanotechnology; Composite material; Copolymer","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":[0.0001296061,0.0002661343,0.0001487514,0.0001209717,0.0000728094,0.0002610688,0.0001115581,0.0002252309,0.0004427303],"category_scores_gemma":[0.0002242846,0.0001048021,0.0001874493,0.0001258019,0.0001347985,0.0003049806,0.000100825,0.0002632509,0.0001049498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000234946,"about_ca_system_score_gemma":0.0001307193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003227037,"about_ca_topic_score_gemma":0.0005608238,"domain_scores_codex":[0.99991,0.00001461635,0.00001178037,0.00002107462,0.00002502434,0.00001751794],"domain_scores_gemma":[0.9998473,0.00004755503,0.00006114065,0.00001199763,0.00001286437,0.00001914231],"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":[0.00002768559,0.000008733296,0.00004055668,0.00001232305,0.000001252478,0.00001296478,0.000004396405,0.00006354937,0.9994957,0.00001196045,0.000002867285,0.0003180191],"study_design_scores_gemma":[0.000003287101,0.0001914878,0.0004051177,0.000001845513,0.000004133188,0.00002849926,0.00000440122,0.0004891329,0.9986066,0.000004445318,0.0002590917,0.000001860509],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963325,0.0004717537,0.002582778,0.00002900477,0.00001193627,0.00002122129,0.0000799297,0.00002647269,0.000444268],"genre_scores_gemma":[0.9953405,0.0004459391,0.003455527,0.00002072453,0.000003777314,0.00001661131,0.0000734261,0.00001301897,0.0006304092],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004427303,"threshold_uncertainty_score":0.001704693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009909409970950226,"score_gpt":0.2547393478179347,"score_spread":0.2448299378469845,"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."}}