{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002825308,0.0003205804,0.0003495915,0.0001042374,0.00008847912,0.0001145635,0.0002040277,0.0002244783,0.00001315532],"category_scores_gemma":[0.00002086994,0.0002780865,0.00003925466,0.0001267733,0.00009621059,0.000007302286,0.0001536404,0.0000607473,0.00001758911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002110796,"about_ca_system_score_gemma":0.00001479639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000114486,"about_ca_topic_score_gemma":0.00001728989,"domain_scores_codex":[0.9984272,0.00008309006,0.000394303,0.0005833562,0.000146125,0.0003659827],"domain_scores_gemma":[0.9991896,0.000007048687,0.0001868252,0.0004393923,0.00009054496,0.00008661131],"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":[0.0002092349,0.00002824174,0.000008472814,0.00001298562,0.00007993838,7.139074e-7,0.00001595867,0.0007278994,0.9969241,0.0002335852,0.0001275419,0.001631311],"study_design_scores_gemma":[0.0002044104,0.0002071103,0.00006510078,0.00002648935,0.00005785007,0.00001052263,0.00005309243,0.00002523651,0.9983196,0.0003228693,0.0003418216,0.0003659373],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972349,0.00003061688,0.001893778,0.00003629784,0.00009780411,0.0002363384,0.00003313665,0.00009571249,0.0003413569],"genre_scores_gemma":[0.9915589,0.0000614792,0.007508028,0.0002588139,0.0002488554,0.00001905068,0.0001000437,0.00004829692,0.0001965169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005676043,"threshold_uncertainty_score":0.9999672,"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."}}