{"id":"W3180614241","doi":"10.1039/d1an00991e","title":"Electrochemiluminescence of water-dispersed nitrogen and sulfur doped carbon dots synthesized from amino acids","year":2021,"lang":"en","type":"article","venue":"The Analyst","topic":"Carbon and Quantum Dots Applications","field":"Materials Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"China Scholarship Council; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; Ontario Innovation Trust","keywords":"Sulfur; Carbon fibers; Electrochemiluminescence; Hydrothermal circulation; Luminescence; Nitrogen; Quantum yield; Doping; Cysteine; Quantum dot; Chemistry; Yield (engineering); Carbon quantum dots; Amino acid; Materials science; Inorganic chemistry; Nanotechnology; Chemical engineering; Organic chemistry; Fluorescence; Optoelectronics; Biochemistry; Electrode; Physical chemistry","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":[0.0001858251,0.0003184152,0.0001915326,0.0001518855,0.0001092132,0.0001892531,0.0003229971,0.0004146192,0.000645108],"category_scores_gemma":[0.0002371851,0.0001332161,0.0001276456,0.0001264101,0.0002688679,0.0002560096,0.0001488799,0.0002427364,0.0001207981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004516909,"about_ca_system_score_gemma":0.0001969454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001097218,"about_ca_topic_score_gemma":0.002126133,"domain_scores_codex":[0.999848,0.0000238276,0.000009060735,0.00005143091,0.00004280925,0.00002484225],"domain_scores_gemma":[0.9999014,0.00003732042,0.00001639694,0.000005637808,0.00002477765,0.00001443206],"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":[0.00004204625,0.00000535525,0.00003581009,0.00001857125,0.000001604456,0.00002887361,0.00001366542,0.00004378878,0.9991468,0.00008323768,0.00001742562,0.0005627701],"study_design_scores_gemma":[0.000005780371,0.00003507031,0.0003505142,0.000001387901,0.000001983402,0.0000244164,0.000007230951,0.0008300176,0.9983879,0.00001591716,0.0003371921,0.000002455182],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921324,0.0007316993,0.004889077,0.000093132,0.00003770194,0.00001729218,0.0001690644,0.00005661113,0.00187312],"genre_scores_gemma":[0.9936186,0.0002297217,0.003980904,0.00003214594,0.000005863397,0.00001368845,0.0001289909,0.00001557,0.001974389],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001097218,"threshold_uncertainty_score":0.003277183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01085430892984268,"score_gpt":0.2278045569921658,"score_spread":0.2169502480623231,"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."}}