{"id":"W4285397808","doi":"10.1149/ma2022-01532231mtgabs","title":"(Invited) Designed DNA Nano-Switches As Sensitive Electrochemical Biosensors","year":2022,"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":"Simon Fraser University","funders":"","keywords":"Aptamer; Biosensor; Analyte; Nanotechnology; Nucleic acid; Chemistry; DNA; Combinatorial chemistry; Electrochemistry; Electrode; Materials science; Biology; Biochemistry; Molecular biology; Physical chemistry","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":[0.000302355,0.000563617,0.0002884947,0.000424122,0.0002612341,0.0006561818,0.0007170202,0.001009583,0.01004272],"category_scores_gemma":[0.000265655,0.0002396142,0.0003125449,0.0002731976,0.0003418874,0.0007899842,0.0005885524,0.0007289877,0.007493642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004826355,"about_ca_system_score_gemma":0.0002493518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000258003,"about_ca_topic_score_gemma":0.0004752373,"domain_scores_codex":[0.9997638,0.0000239471,0.0000114259,0.00007558971,0.00008996332,0.00003520851],"domain_scores_gemma":[0.999936,0.000009668947,0.000008077623,0.000004444614,0.00002593771,0.00001578643],"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":[0.0002151728,0.00006991451,0.0002637678,0.001018725,0.00002619477,0.000424934,0.0002119745,0.0008801555,0.8179887,0.02229767,0.03062727,0.1259756],"study_design_scores_gemma":[0.00004874065,0.0001927917,0.0002162914,0.00004223359,0.0000246009,0.0003097042,0.00005417458,0.002577413,0.6625701,0.002235408,0.3316922,0.00003639427],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1748786,0.08473274,0.3765981,0.01607087,0.05130715,0.001521634,0.003774459,0.007977985,0.2831385],"genre_scores_gemma":[0.4127081,0.04116094,0.1547693,0.006985053,0.00258171,0.001155613,0.002218749,0.0008022716,0.3776182],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01004272,"threshold_uncertainty_score":0.03359628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008297478111062248,"score_gpt":0.2457297759741678,"score_spread":0.2374322978631056,"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."}}