{"id":"W2184500196","doi":"10.1149/ma2013-01/16/717","title":"Fabrication of a DNA Sensor Based on Simultaneous Electrochemical Impedance Spectroscopy and Localized Surface Plasmon Resonance","year":2013,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Surface plasmon resonance; Dielectric spectroscopy; Fabrication; Materials science; Plasmon; Optoelectronics; Electrical impedance; Spectroscopy; Localized surface plasmon; Surface plasmon; Resonance (particle physics); Electrochemistry; Nanotechnology; Analytical Chemistry (journal); Chemistry; Nanoparticle; Electrode; Electrical engineering; Physics; Atomic physics; Engineering; Medicine","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":[0.0003996902,0.0005211959,0.000599809,0.0003849222,0.0003418439,0.0005853627,0.00108304,0.001050873,0.001843927],"category_scores_gemma":[0.0006534674,0.0007094915,0.0003399471,0.0003753806,0.000384534,0.0008555774,0.000496977,0.0008448719,0.001781409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004605422,"about_ca_system_score_gemma":0.0004995163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005529399,"about_ca_topic_score_gemma":0.001438307,"domain_scores_codex":[0.9996141,0.0000300606,0.00002710701,0.0001171139,0.0001806249,0.0000311488],"domain_scores_gemma":[0.9997208,0.00009565509,0.00003718096,0.00003347412,0.00006488663,0.00004806694],"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":[0.00001980322,0.00001876035,0.0000454092,0.00005475009,0.000005157551,0.00002000126,0.000008765579,0.00005574736,0.9961452,0.00007275785,0.00009488717,0.00345871],"study_design_scores_gemma":[0.00001150301,0.00009082297,0.0003148821,0.00000338118,0.000008318832,0.00008617861,0.000005228036,0.001017037,0.9957295,0.00004909326,0.002675544,0.000008538177],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4437151,0.004980132,0.5326366,0.001776629,0.001346789,0.001264024,0.004034867,0.003535365,0.006710457],"genre_scores_gemma":[0.574866,0.00330057,0.4051653,0.0006113253,0.00009999437,0.0006842295,0.002349416,0.0001616134,0.01276157],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001843927,"threshold_uncertainty_score":0.006168544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005433941180647705,"score_gpt":0.2447271244451156,"score_spread":0.2392931832644679,"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."}}