{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008754298,0.0002945724,0.0001022596,0.0001217869,0.00006767242,0.0001356938,0.00009049148,0.0001485803,0.0003964115],"category_scores_gemma":[0.0001174652,0.0000825384,0.0001399272,0.00005344376,0.0001188591,0.0001375467,0.00009684444,0.0002106507,0.0001198664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001401665,"about_ca_system_score_gemma":0.000148736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003920924,"about_ca_topic_score_gemma":0.0006830333,"domain_scores_codex":[0.9999326,0.000008664672,0.00000495682,0.00001026996,0.00002580963,0.00001749224],"domain_scores_gemma":[0.9999166,0.00001475372,0.00003527957,0.000005659409,0.00001213619,0.00001555622],"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":[0.00003486988,0.00000757858,0.00004524348,0.00001614731,0.000001184144,0.00001634841,0.000006856079,0.00002780923,0.9989567,0.00001753796,0.000008638658,0.0008610771],"study_design_scores_gemma":[0.00000432158,0.0002919017,0.00135678,0.000003386823,0.00000728879,0.00004564134,0.000007548406,0.0005844214,0.9972078,0.000007826818,0.000481304,0.000001777876],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968941,0.0008390074,0.001688092,0.00002039057,0.00001421438,0.0000139201,0.00004137166,0.00002828711,0.0004605379],"genre_scores_gemma":[0.995006,0.0008039147,0.002971977,0.0000320402,0.000008344432,0.00001677782,0.0000656418,0.00001135051,0.001084023],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0003964115,"threshold_uncertainty_score":0.001326084,"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."}}