{"id":"W3014079175","doi":"10.1039/d0cc01273d","title":"Acridine orange as a coreactant for efficient electrogenerated chemiluminescence of tris(2,2′-bipyridine)ruthenium(<scp>ii</scp>) and its use in selective and sensitive detection of thiourea","year":2020,"lang":"en","type":"article","venue":"Chemical Communications","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"National Key Research and Development Program of China; Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"Ruthenium; Electrochemiluminescence; Thiourea; Chemiluminescence; Chemistry; Acridine orange; Tris; Bipyridine; 2,2'-Bipyridine; Nuclear chemistry; Inorganic chemistry; Combinatorial chemistry; Photochemistry; Electrode; Organic chemistry; Physical chemistry; Catalysis","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002932397,0.0005883079,0.0002565151,0.0002515441,0.0001867535,0.0002604654,0.0004238258,0.0004328631,0.0009248032],"category_scores_gemma":[0.0003008629,0.0002404555,0.0002671963,0.0002184078,0.0003003038,0.0003931005,0.0003075035,0.0007170297,0.0003527894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002189691,"about_ca_system_score_gemma":0.0001953731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003462409,"about_ca_topic_score_gemma":0.0005806244,"domain_scores_codex":[0.9997368,0.00004231247,0.00001461103,0.0000724717,0.00008812613,0.00004565],"domain_scores_gemma":[0.9997835,0.00004460812,0.00006267753,0.00002423129,0.00005051399,0.00003444854],"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":[0.00001446919,0.000006032656,0.00002053754,0.00003986534,0.000002397994,0.00003211887,0.00001069805,0.00003710738,0.998278,0.0001551797,0.00002620399,0.001377353],"study_design_scores_gemma":[0.000002184072,0.00004764434,0.000137952,0.00000131968,0.000003398147,0.00007883193,0.000001634077,0.0002914398,0.9985984,0.00001106715,0.0008237882,0.000002328078],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8699942,0.005067239,0.1187709,0.0003520423,0.0001863427,0.0001789482,0.0001786451,0.0008143992,0.004457197],"genre_scores_gemma":[0.9171122,0.001499581,0.07735651,0.0001458445,0.00004696764,0.00009963648,0.0002134416,0.0001271297,0.003398743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009248032,"threshold_uncertainty_score":0.003093779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02568563685391676,"score_gpt":0.2785255623936098,"score_spread":0.252839925539693,"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."}}