{"id":"W4408288309","doi":"10.1016/j.microc.2025.113278","title":"Strong nanozymatic activity of silicene quantum dots: Enhanced sensitivity for the selective detection of H2O2 and dopamine in complex media","year":2025,"lang":"en","type":"article","venue":"Microchemical Journal","topic":"Carbon and Quantum Dots Applications","field":"Materials Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Silicene; Dopamine; Quantum dot; Chemistry; Sensitivity (control systems); Nanotechnology; Materials science; Graphene; Neuroscience; Biology","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":[0.0005397021,0.00009061215,0.0002564662,0.00007312504,0.0000841205,0.00002102761,0.0000901105,0.00005501247,0.000009362919],"category_scores_gemma":[0.0002886799,0.00006768014,0.00005756743,0.0002131182,0.0001839159,0.00006432303,0.00004874358,0.0001618744,3.226742e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006858618,"about_ca_system_score_gemma":0.00005901144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009428697,"about_ca_topic_score_gemma":0.0001609854,"domain_scores_codex":[0.9992061,0.00007580394,0.0003069424,0.0001449262,0.0001089989,0.0001572329],"domain_scores_gemma":[0.9986442,0.0008071693,0.0002117617,0.0001145524,0.0001872054,0.00003513536],"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":[0.0001875687,0.00008822514,0.00003762522,0.00004878817,0.00001202248,2.232423e-7,0.0001832594,0.00001069515,0.9967504,0.000187461,0.00002175313,0.002471946],"study_design_scores_gemma":[0.0006146648,0.00003114517,0.01017857,0.00005145122,0.00003161952,0.00002194489,0.0002331883,0.003813506,0.9843134,0.0006347651,0.00001749244,0.00005828018],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.957366,0.0001289049,0.04195871,0.0002186459,0.0000499564,0.0002175475,0.00002113712,0.000006328024,0.00003273691],"genre_scores_gemma":[0.9994269,0.00003428916,0.0004581846,0.0000243463,0.00003151572,0.00001481249,0.000001412004,0.000004682021,0.000003883423],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04206084,"threshold_uncertainty_score":0.2759916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01509171991113657,"score_gpt":0.2773685579551456,"score_spread":0.262276838044009,"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."}}