{"id":"W2034882689","doi":"10.1063/1.4918596","title":"Rapid bench-top fabrication of poly(dimethylsiloxane)/polystyrene microfluidic devices incorporating high-surface-area sensing electrodes","year":2015,"lang":"en","type":"article","venue":"Biomicrofluidics","topic":"Analytical Chemistry and Sensors","field":"Chemical Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Fabrication; Materials science; Microfluidics; Electrode; Polystyrene; Nanotechnology; Fluidics; Lab-on-a-chip; Optoelectronics; Polymer; Electrical engineering; Chemistry; Composite material","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":[0.0005463929,0.0007537611,0.0003796546,0.0004204027,0.0003235787,0.0004727695,0.0006342786,0.0004878476,0.001811915],"category_scores_gemma":[0.000646989,0.0004229776,0.0003289469,0.0002509996,0.0003798898,0.0005269081,0.0004961164,0.0007934946,0.001020069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002979411,"about_ca_system_score_gemma":0.0004998413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002052342,"about_ca_topic_score_gemma":0.00093237,"domain_scores_codex":[0.9996947,0.00003508455,0.00003062365,0.0000678424,0.0001395991,0.00003220964],"domain_scores_gemma":[0.9996818,0.0001472679,0.00004500133,0.00004004231,0.00005428539,0.0000314851],"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":[0.00001436279,0.00002699261,0.00005815815,0.0000886564,0.000006657022,0.00004503488,0.00001809352,0.0002142685,0.9932553,0.0004694788,0.0002178838,0.005585236],"study_design_scores_gemma":[0.000009470571,0.0000839289,0.000371952,0.000004798907,0.000005324672,0.00005051446,0.000008448344,0.001222851,0.9952435,0.000126138,0.002864791,0.000008259559],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3465101,0.005154961,0.6299388,0.0007104269,0.000745787,0.00183042,0.003037276,0.003302745,0.008769365],"genre_scores_gemma":[0.4032563,0.003452676,0.5860796,0.000336828,0.0001136022,0.001193032,0.001351639,0.0001045227,0.004111763],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001811915,"threshold_uncertainty_score":0.006061494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02629783854682671,"score_gpt":0.2379780981173859,"score_spread":0.2116802595705592,"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."}}