{"id":"W1577857065","doi":"","title":"Development of an electrochemical surface-enhanced Raman spectroscopy DNA aptamer biosensor for rapid detection of protein biomarkers of disease","year":2014,"lang":"en","type":"article","venue":"Saint Mary's University Institutional Repository (Saint Mary's University)","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Cape Town; Grand Challenges Canada","keywords":"Aptamer; Biosensor; Surface-enhanced Raman spectroscopy; Raman spectroscopy; DNA; Nanotechnology; Chemistry; Protein detection; Computational biology; Materials science; Molecular biology; Biophysics; Biology; Biochemistry; Raman scattering; Physics; Optics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002337777,0.0002596313,0.0003592947,0.0003392458,0.0003113837,0.000006699637,0.0003332544,0.0002124453,0.000001880629],"category_scores_gemma":[0.00007374249,0.0002946185,0.0002927375,0.0003978725,0.0006474645,0.00003487264,0.0001542751,0.0001098166,3.187482e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004520358,"about_ca_system_score_gemma":0.0004340518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006306073,"about_ca_topic_score_gemma":0.00004306006,"domain_scores_codex":[0.9983955,0.0001664155,0.0003392611,0.0005455196,0.0002818385,0.0002714888],"domain_scores_gemma":[0.9985228,0.00003023728,0.000432882,0.0003994654,0.0004310108,0.0001836561],"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":[0.003910008,0.0003481173,0.0001241348,0.00012068,0.0002769816,0.000009492956,0.00002119985,0.00006856499,0.9917515,0.001769334,0.000006536468,0.001593451],"study_design_scores_gemma":[0.0009363712,0.0006764384,0.0005710247,0.00008413866,0.0001489247,0.000004919463,0.0001743036,0.0002712735,0.9813233,0.00003941166,0.01546258,0.0003073109],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9328835,0.00002084835,0.06559401,0.00002639666,0.00005463948,0.000418175,0.00004480116,0.00003909705,0.0009185178],"genre_scores_gemma":[0.9586911,0.00002670814,0.04061116,0.000008941023,0.0000448204,4.982151e-7,0.0002135947,0.00001269848,0.0003905253],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02580754,"threshold_uncertainty_score":0.9999506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005211743230448633,"score_gpt":0.1999767337543706,"score_spread":0.194764990523922,"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."}}