{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003417691,0.0004901016,0.0003252141,0.0003854149,0.0001629718,0.0002937104,0.0006084339,0.001031983,0.0003599256],"category_scores_gemma":[0.0003139781,0.0002903513,0.0003909358,0.0002320638,0.0002098899,0.0005354219,0.0003709568,0.000383794,0.0002220678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003496929,"about_ca_system_score_gemma":0.0001864468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003013214,"about_ca_topic_score_gemma":0.0008426103,"domain_scores_codex":[0.9996485,0.00003598565,0.00002108639,0.00009242688,0.0001757183,0.00002632415],"domain_scores_gemma":[0.9998761,0.000030375,0.00002246823,0.000013192,0.00003988581,0.00001784486],"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":[0.000009389983,0.00001099645,0.0000464679,0.00004083634,0.000006215131,0.0000277985,0.00000407491,0.0001100032,0.9985475,0.00008912793,0.00002763341,0.001079953],"study_design_scores_gemma":[0.000005863139,0.00009530962,0.0003291666,0.000003235902,0.00001347842,0.000131433,0.000005572814,0.003042951,0.9949698,0.00004511705,0.001346125,0.0000120262],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.859661,0.007105407,0.1276106,0.0005035397,0.0005012323,0.000273962,0.0006299668,0.0008685372,0.002845733],"genre_scores_gemma":[0.8840046,0.001747783,0.1118515,0.0002117175,0.00003801526,0.0001207227,0.000303903,0.00002615386,0.001695615],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001031983,"threshold_uncertainty_score":0.002537131,"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."}}