{"id":"W2048685311","doi":"10.1109/dft.2011.33","title":"Creating Defect Tolerance in Microfluidic Capacitive/Photonic Biosensors","year":2011,"lang":"en","type":"article","venue":"","topic":"Electrowetting and Microfluidic Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Fluidics; Capacitive sensing; Microfluidics; Photonics; Materials science; Fluid dynamics; Flow (mathematics); Channel (broadcasting); Optoelectronics; Electronic engineering; Nanotechnology; Engineering; Electrical engineering; Mechanics; Physics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003335944,0.0004023588,0.0003908322,0.0004853413,0.000314452,0.0006854737,0.0009778347,0.0006813668,0.0004833081],"category_scores_gemma":[0.001294964,0.0003641062,0.0002278927,0.0002859028,0.000613198,0.0005632857,0.0006821072,0.0003337172,0.0002297136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004526788,"about_ca_system_score_gemma":0.0002783824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005705478,"about_ca_topic_score_gemma":0.0004404777,"domain_scores_codex":[0.9993904,0.00008005535,0.00003641065,0.0001131926,0.0002588843,0.0001210716],"domain_scores_gemma":[0.998859,0.0002895157,0.0004606735,0.0001818959,0.0001471926,0.00006162935],"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":[0.00009543722,0.000102304,0.001220931,0.0001357311,0.00001521508,0.0002772677,0.00009335497,0.04295759,0.9312754,0.003065728,0.0003391882,0.02042193],"study_design_scores_gemma":[0.00001956104,0.0005435958,0.001897894,0.00002165373,0.00001909811,0.0003922864,0.00007112624,0.1667798,0.8247408,0.00122078,0.004245901,0.00004764037],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.844215,0.001929928,0.1488583,0.0002953981,0.0001512388,0.00006281035,0.0001012475,0.001284912,0.003101132],"genre_scores_gemma":[0.9705208,0.0003020833,0.02835984,0.00005197181,0.00001910492,0.00003678555,0.00003166586,0.00003184484,0.0006460802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009778347,"threshold_uncertainty_score":0.003284454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0130467108919658,"score_gpt":0.1948404493691195,"score_spread":0.1817937384771537,"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."}}