{"id":"W1974784717","doi":"10.1021/am502138n","title":"A General Strategy to Create RNA Aptamer Sensors Using “Regulated” Graphene Oxide Adsorption","year":2014,"lang":"en","type":"article","venue":"ACS Applied Materials & Interfaces","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Aptamer; Graphene; RNA; Fluorophore; Materials science; Nanotechnology; Molecular beacon; Adsorption; Fluorescence; Nucleic acid; DNA; Quenching (fluorescence); Biosensor; Oligonucleotide; Oxide; Combinatorial chemistry; Biophysics; Chemistry; Biology; Biochemistry; Molecular biology; Organic chemistry; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000164899,0.0006162687,0.0002388806,0.0003143361,0.0002154137,0.0001792242,0.0005935271,0.0006377128,0.0006207657],"category_scores_gemma":[0.0001603976,0.0003143657,0.0004357903,0.0002152796,0.0002660879,0.0002946712,0.0002519699,0.0007981246,0.0004463792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002219395,"about_ca_system_score_gemma":0.0002564711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004527268,"about_ca_topic_score_gemma":0.0009777765,"domain_scores_codex":[0.9997628,0.00002820678,0.0000213036,0.00007361369,0.00007481852,0.00003916953],"domain_scores_gemma":[0.9999502,0.000009605898,0.00001136294,0.00001136687,0.000009449948,0.000008115363],"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":[0.000007170487,0.0000184403,0.00001935939,0.00004176121,0.000003329794,0.00003573381,0.000009278706,0.0001112898,0.997033,0.0003874691,0.00009169325,0.002241559],"study_design_scores_gemma":[0.000005856314,0.00009623718,0.0001953288,0.000002353009,0.00000543265,0.000126499,0.000003549494,0.001103344,0.9942115,0.00009928137,0.004139311,0.00001136295],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5413123,0.003869388,0.4344217,0.001370898,0.0006747287,0.001503422,0.001007955,0.003054473,0.01278519],"genre_scores_gemma":[0.7677008,0.0022337,0.2198843,0.0008602223,0.00006172831,0.0007620359,0.0008375096,0.00008783577,0.007571884],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006377128,"threshold_uncertainty_score":0.002076626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01270648868251109,"score_gpt":0.2678012336282939,"score_spread":0.2550947449457829,"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."}}