{"id":"W2998780747","doi":"10.1039/c9cc09973e","title":"High-efficiency cathodic electrochemiluminescence of the tris(2,2′-bipyridine)ruthenium(<scp>ii</scp>)/<i>N</i>-hydroxy compound system and its use for sensitive “turn-on” detection of mercury(<scp>ii</scp>) and methyl blue","year":2020,"lang":"en","type":"article","venue":"Chemical Communications","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"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":"Electrochemiluminescence; Ruthenium; Mercury (programming language); Chemistry; Tris; Cathodic protection; Inorganic chemistry; Catalysis; Electrochemistry; Electrode; Detection limit; Chromatography; Organic chemistry; Physical chemistry; Computer science; Biochemistry","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":[0.0003317084,0.0005185179,0.0002119969,0.0002054429,0.0001027415,0.0002654939,0.0004160566,0.0003601869,0.001300287],"category_scores_gemma":[0.0002404681,0.0002425828,0.0002038654,0.0001606346,0.0002569491,0.0002511446,0.0002035478,0.0005399954,0.0004812376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002649298,"about_ca_system_score_gemma":0.0001818648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003889346,"about_ca_topic_score_gemma":0.0005928597,"domain_scores_codex":[0.9997898,0.00004505399,0.000008990368,0.00005878726,0.00006604639,0.00003145291],"domain_scores_gemma":[0.9998931,0.00002987252,0.00002009078,0.0000108415,0.00002886827,0.00001726398],"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":[0.00001268463,0.000002778566,0.00001390301,0.00001755249,0.000001087445,0.00001214648,0.00000445592,0.000007621547,0.9991884,0.00002956604,0.00001634171,0.00069359],"study_design_scores_gemma":[0.000002174813,0.00003458632,0.0002696926,8.775691e-7,0.00000214799,0.00007038184,0.00000215392,0.000208238,0.9989322,0.000006128907,0.0004697428,0.000001632995],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9094187,0.001883516,0.08257365,0.0001509197,0.0000643875,0.00009351385,0.0002666801,0.0005502586,0.004998376],"genre_scores_gemma":[0.959635,0.001167539,0.0336413,0.000112989,0.00002630383,0.00007723703,0.0005490198,0.00009173804,0.00469889],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001300287,"threshold_uncertainty_score":0.004349828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01994426951985422,"score_gpt":0.2588683025182323,"score_spread":0.2389240329983781,"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."}}