{"id":"W3125425708","doi":"10.1021/acsbiomaterials.0c01487","title":"Polysiloxane Nanofilaments Infused with Silicone Oil Prevent Bacterial Adhesion and Suppress Thrombosis on Intranasal Splints","year":2021,"lang":"en","type":"article","venue":"ACS Biomaterials Science & Engineering","topic":"Polymer Surface Interaction Studies","field":"Materials Science","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thrombosis and Atherosclerosis Research Institute; McMaster University","funders":"Ontario Ministry of Economic Development, Job Creation and Trade; Natural Sciences and Engineering Research Council of Canada; Türkiye Bilimsel ve Teknolojik Araştırma Kurumu; McMaster University","keywords":"Splints; Silicone; Materials science; Nasal administration; Lubricant; Adhesion; Biomedical engineering; Medicine; Surgery; Composite material; Pharmacology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005718053,0.0003733438,0.0004910798,0.0002059837,0.000322127,0.0004884378,0.000401943,0.00008078167,0.0003185502],"category_scores_gemma":[0.0001361254,0.0003098079,0.00003766424,0.0004940152,0.0003692706,0.0009256111,0.000393501,0.00005446886,0.00007562518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001338952,"about_ca_system_score_gemma":0.0001358147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008645664,"about_ca_topic_score_gemma":0.00001125661,"domain_scores_codex":[0.9972019,0.00006843513,0.0004759007,0.0008390826,0.0007138511,0.0007008971],"domain_scores_gemma":[0.9988619,0.000113218,0.0001650544,0.0004876233,0.0001555565,0.0002166255],"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":[0.00007570281,0.00009518876,0.0001714437,0.00003606379,0.00002295645,0.00002135815,0.0004014134,0.0001346688,0.9987694,0.00007077649,0.00001687308,0.0001841527],"study_design_scores_gemma":[0.0005352701,0.0001602139,0.007202293,0.0002574103,0.00003153465,0.00004641593,0.0001254536,0.00004634038,0.9909925,0.000003471612,0.0002296702,0.0003694102],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969257,0.00009099718,0.00004952791,0.0002072396,0.002268017,0.0001194932,0.00006836696,0.0002029664,0.00006770987],"genre_scores_gemma":[0.9976954,0.00008284293,0.001871535,0.00006570648,0.0001423037,0.00004121936,0.000009519717,0.00003512729,0.00005632435],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007776885,"threshold_uncertainty_score":0.9999354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01305243900260762,"score_gpt":0.2506437456413925,"score_spread":0.2375913066387849,"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."}}