{"id":"W4367598961","doi":"10.3390/nano13091509","title":"Hybrid Nanomaterial of Graphene Oxide Quantum Dots with Multi-Walled Carbon Nanotubes for Simultaneous Voltammetric Determination of Four DNA Bases","year":2023,"lang":"en","type":"article","venue":"Nanomaterials","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"Ontario Ministry of Research and Innovation; University of Toronto Scarborough; Natural Sciences and Engineering Research Council of Canada; University of Toronto","keywords":"Graphene; Differential pulse voltammetry; Nanomaterials; Carbon nanotube; Detection limit; Materials science; Oxide; Quantum dot; Cyclic voltammetry; Hybrid material; Nanotechnology; Voltammetry; Electrode; Electrochemistry; Chemistry; Chromatography","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":[0.0003418438,0.0002485625,0.0005130839,0.0002869094,0.00005813877,0.00001861359,0.0001760767,0.0001480562,0.000001403319],"category_scores_gemma":[0.0005525399,0.0001972139,0.0001496987,0.0002907341,0.0001181612,0.00000651549,0.00007350975,0.00001692708,4.462827e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001349695,"about_ca_system_score_gemma":0.00006198786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005743744,"about_ca_topic_score_gemma":0.00001881798,"domain_scores_codex":[0.9984779,0.00008824427,0.0005649104,0.0004039765,0.0001789741,0.0002859359],"domain_scores_gemma":[0.998711,0.0001096273,0.0004438946,0.0003493646,0.000338619,0.00004741858],"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":[0.0007237575,0.00007909378,0.0001713684,0.0001417878,0.00006921693,0.00001203726,0.000009593109,0.00001596511,0.9974794,0.000007025812,0.00002477756,0.001265913],"study_design_scores_gemma":[0.00103752,0.0008495664,0.0002120206,0.00006481665,0.00009984808,0.00002141204,0.00002162793,0.001084178,0.9959779,0.00006146635,0.0003209333,0.0002486794],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969894,0.00005109203,0.001877865,0.00001031533,0.0001873338,0.0004785697,0.0003142764,0.00008326151,0.000007866626],"genre_scores_gemma":[0.9880901,0.0001262434,0.01114169,0.0000130949,0.0001028935,0.00004891032,0.000337066,0.00004248566,0.00009749563],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009263827,"threshold_uncertainty_score":0.8042151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01686965417706308,"score_gpt":0.2698038274650678,"score_spread":0.2529341732880047,"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."}}