{"id":"W1999212330","doi":"10.1016/j.colsurfb.2015.01.042","title":"Developing an ultra non-fouling SU-8 and PDMS hybrid microfluidic device by poly(amidoamine) engraftment","year":2015,"lang":"en","type":"article","venue":"Colloids and Surfaces B Biointerfaces","topic":"Microfluidic and Capillary Electrophoresis Applications","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Microfluidics; Fouling; Materials science; Microbead (research); Contact angle; Poly(amidoamine); Amidoamine; Nanotechnology; Adsorption; Chemical engineering; X-ray photoelectron spectroscopy; Drop (telecommunication); Force spectroscopy; Dendrimer; Atomic force microscopy; Membrane; Chemistry; Polymer chemistry; Composite material; Organic chemistry; Computer science","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":[0.0002400988,0.0004134875,0.0002465498,0.0002475109,0.0002309355,0.0003943226,0.0005639929,0.0005142669,0.0005002872],"category_scores_gemma":[0.0001480096,0.0003088615,0.0003000483,0.0001623014,0.0002104273,0.0005673257,0.0004469755,0.0004186262,0.0003539592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002549617,"about_ca_system_score_gemma":0.0003221059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002459072,"about_ca_topic_score_gemma":0.0005175874,"domain_scores_codex":[0.9998521,0.000009728959,0.00001675349,0.00004554646,0.0000498661,0.00002596139],"domain_scores_gemma":[0.9999065,0.00001980095,0.00003109274,0.00001202629,0.00001609124,0.0000143827],"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":[0.000006604102,0.000009320776,0.00005258728,0.00002168206,0.000001879876,0.0000240598,0.00001121261,0.00005268406,0.9975794,0.0002916426,0.00002177041,0.001927043],"study_design_scores_gemma":[0.000004805302,0.00004464174,0.0003183173,0.000001950269,0.000005139304,0.00009470958,0.000005765355,0.001688349,0.9962494,0.00005457267,0.001526402,0.000006124472],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8022124,0.001780805,0.1911567,0.0002738302,0.0002239215,0.0001469865,0.0001768848,0.0006397621,0.003388592],"genre_scores_gemma":[0.7965806,0.0009870011,0.1969038,0.0001513075,0.00005007878,0.0001356245,0.000240482,0.00004975735,0.004901324],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005639929,"threshold_uncertainty_score":0.00184989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01565379857494162,"score_gpt":0.2298462867930917,"score_spread":0.2141924882181501,"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."}}