{"id":"W2060918298","doi":"10.1039/c4cp05077k","title":"Development of an electrochemical surface-enhanced Raman spectroscopy (EC-SERS) aptasensor for direct detection of DNA hybridization","year":2015,"lang":"en","type":"article","venue":"Physical Chemistry Chemical Physics","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University","funders":"Grand Challenges Canada","keywords":"DNA–DNA hybridization; Surface-enhanced Raman spectroscopy; Raman spectroscopy; DNA; Electrochemistry; Chemistry; Nanotechnology; Materials science; Electrode; Raman scattering; Physics; Optics; Biochemistry; Physical chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001140706,0.0002818285,0.000443034,0.00001006528,0.00004089208,0.000009598191,0.0002095598,0.0001673336,3.600622e-7],"category_scores_gemma":[0.0001518603,0.0002778094,0.0002125966,0.0001977768,0.0001794639,0.00001181002,0.00007240233,0.0001251339,4.692222e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006899826,"about_ca_system_score_gemma":0.0001256792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001515821,"about_ca_topic_score_gemma":5.332741e-7,"domain_scores_codex":[0.998479,0.00002083195,0.0003937305,0.0005303326,0.000275432,0.00030068],"domain_scores_gemma":[0.9987538,0.00002783352,0.0002977802,0.0003961054,0.0003553961,0.0001690682],"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":[0.0004296775,0.0005285399,0.000002651482,0.00009530057,0.00007866247,1.295207e-7,0.00005158249,0.0000346938,0.9974681,0.000006566134,0.00002665708,0.001277439],"study_design_scores_gemma":[0.0005795987,0.000162515,0.000001358971,0.00002064154,0.00006972349,0.000001259608,0.00004428453,0.001548162,0.9964806,0.0005452657,0.0002318762,0.0003146415],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9677247,0.00001663207,0.03165062,0.000007520375,0.00001404112,0.0001685419,0.00003728954,0.00005105903,0.0003296061],"genre_scores_gemma":[0.9718419,0.000004315696,0.02684508,0.0000123318,0.0004198637,0.0000162854,0.0008011604,0.00003788343,0.00002114063],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004805536,"threshold_uncertainty_score":0.9999674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01237998014835679,"score_gpt":0.2746879788045946,"score_spread":0.2623079986562378,"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."}}