{"id":"W289241723","doi":"10.1007/s40846-015-0029-4","title":"Anti-fouling Coatings of Poly(dimethylsiloxane) Devices for Biological and Biomedical Applications","year":2015,"lang":"en","type":"article","venue":"Journal of Medical and Biological Engineering","topic":"Polymer Surface Interaction Studies","field":"Materials Science","cited_by":410,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; University of British Columbia; Canada Research Chairs; California HIV/AIDS Research Program","keywords":"Fouling; Materials science; Nanotechnology; Protein adsorption; Biofouling; Adsorption; Coating; Biocompatible material; Fabrication; Polymer; Chemistry; Membrane; Composite material; Biomedical engineering; Organic chemistry; Engineering","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":[0.000292123,0.0006247801,0.0001924879,0.0003242667,0.0001621726,0.0002331683,0.0002901999,0.0004924242,0.0007793386],"category_scores_gemma":[0.0002307926,0.0002822024,0.0003499161,0.0002253276,0.0001269457,0.0002898108,0.0001721789,0.0003827107,0.0004612328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001855922,"about_ca_system_score_gemma":0.0001690093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000187417,"about_ca_topic_score_gemma":0.0005266542,"domain_scores_codex":[0.9998348,0.00002029757,0.00001485988,0.00001960659,0.0000900461,0.00002040035],"domain_scores_gemma":[0.999896,0.0000253916,0.00003348621,0.000005632715,0.00002691512,0.00001249935],"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":[0.00001850805,0.00001025673,0.00007620914,0.000399147,0.00000887766,0.00007537862,0.00001072436,0.0001621725,0.9895142,0.0002951308,0.000170532,0.009258809],"study_design_scores_gemma":[0.000005988573,0.0001276389,0.001466022,0.00002175075,0.00002397411,0.0002782511,0.00001210786,0.001498925,0.9862936,0.0001077952,0.01015441,0.000009541716],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6762756,0.1618675,0.1358016,0.0007253436,0.0009255767,0.0004218117,0.0007241175,0.0005709398,0.02268748],"genre_scores_gemma":[0.8434789,0.06381029,0.08392699,0.0005131186,0.0002686238,0.0001986566,0.0004924857,0.00005567939,0.007255123],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007793386,"threshold_uncertainty_score":0.002607107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05949402127790263,"score_gpt":0.3148659566884578,"score_spread":0.2553719354105551,"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."}}