{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001332782,0.0003919194,0.0002553263,0.0004066733,0.0001357335,0.0001886531,0.0007160092,0.0008030059,0.0003923887],"category_scores_gemma":[0.0002392704,0.0001708482,0.0002294844,0.0002947536,0.0002172124,0.0003592897,0.0002492732,0.00030686,0.0003374194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004976722,"about_ca_system_score_gemma":0.000198735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009578587,"about_ca_topic_score_gemma":0.00178931,"domain_scores_codex":[0.999744,0.00002675398,0.00001053274,0.00006934163,0.0001307833,0.00001864319],"domain_scores_gemma":[0.9999256,0.00001386417,0.00001809168,0.000005051903,0.00002487583,0.00001242636],"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":[0.00001708818,0.00001042836,0.00009305485,0.00008172271,0.000006401164,0.00004196771,0.000006257522,0.000279174,0.9945291,0.0001293619,0.0001349131,0.00467057],"study_design_scores_gemma":[0.000005763318,0.00009952032,0.0007369946,0.00000642925,0.00001822897,0.000201756,0.000008365036,0.006264343,0.9873946,0.00008563337,0.005156201,0.00002216811],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7315503,0.027205,0.2223679,0.001076262,0.0007565261,0.0003050967,0.002042738,0.002923268,0.01177281],"genre_scores_gemma":[0.8445027,0.005596519,0.1414009,0.0006069943,0.0000710743,0.0001237394,0.0008391129,0.00003808875,0.006820902],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009578587,"threshold_uncertainty_score":0.003610849,"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."}}