{"id":"W2947021214","doi":"10.3390/bios9020074","title":"Graphene Oxide-Based Nanostructured DNA Sensor","year":2019,"lang":"en","type":"article","venue":"Biosensors","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Graphene; Förster resonance energy transfer; Oxide; Materials science; Oligonucleotide; Quenching (fluorescence); Fluorescence; DNA; Nanotechnology; Chemistry; Biochemistry; Physics; Optics","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":[],"consensus_categories":[],"category_scores_codex":[0.0001136427,0.000264386,0.0002385756,0.000110193,0.00007170506,0.0000259888,0.0001795084,0.0002615643,0.00001505999],"category_scores_gemma":[0.00005858619,0.0002230035,0.0002431754,0.0002260467,0.0001092548,0.000003069072,0.00005247011,0.00009514485,0.00004571218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001554495,"about_ca_system_score_gemma":0.00004018802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001162274,"about_ca_topic_score_gemma":0.00001074861,"domain_scores_codex":[0.9985995,0.00006950866,0.000242518,0.000556441,0.0001937707,0.0003382834],"domain_scores_gemma":[0.9989883,0.00001173649,0.0001234612,0.0006627557,0.0001136747,0.0001001095],"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":[0.00009173154,0.00002937173,0.003569363,0.00001099303,0.00004633941,0.00000488107,0.000003012046,0.00001665975,0.9946789,0.00004393365,0.0009660439,0.0005388389],"study_design_scores_gemma":[0.0004128942,0.000174136,0.003171695,0.00001487162,0.00002693149,0.00001375158,0.0000339308,0.00005948975,0.9652554,0.0000531449,0.03044553,0.0003382339],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980497,0.00009073951,0.0002457671,0.0001998981,0.0001779392,0.0002190648,0.00003494892,0.0001159831,0.0008660103],"genre_scores_gemma":[0.9874603,0.00003683896,0.009893012,0.0007507285,0.000113346,0.000003765111,0.0001525366,0.00003823685,0.001551231],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02947949,"threshold_uncertainty_score":0.909382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005770503297222768,"score_gpt":0.2338833265474855,"score_spread":0.2281128232502627,"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."}}