{"id":"W4387368691","doi":"10.1016/j.cej.2023.146452","title":"Electrocatalytic regulation of electrochemiluminescence: Mechanisms and sensing strategies","year":2023,"lang":"en","type":"article","venue":"Chemical Engineering Journal","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Electrochemiluminescence; Electrocatalyst; Overpotential; Combinatorial chemistry; Nanoclusters; Chemistry; Nanotechnology; Luminophore; Catalysis; Electrochemistry; Carbon nanotube; Biosensor; Detection limit; Materials science; Organic chemistry; Physical chemistry; Electrode","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001313041,0.0001012242,0.0001214966,0.00007377803,0.00002944111,0.00002116535,0.00005729534,0.00009470481,3.791028e-7],"category_scores_gemma":[0.00009362279,0.00009308619,0.0000539273,0.0001900332,0.0000337321,0.000006047067,0.00003310118,0.0001181969,2.832371e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001140966,"about_ca_system_score_gemma":0.00002703135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.593771e-7,"about_ca_topic_score_gemma":7.551854e-8,"domain_scores_codex":[0.9994078,0.000005271414,0.0001684031,0.000137468,0.0001016416,0.0001793732],"domain_scores_gemma":[0.9997032,0.000009618207,0.00006514625,0.00009567946,0.00007217805,0.00005413428],"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":[0.00001174012,0.000003537212,0.000004130644,0.00001726325,0.00002337863,0.000001737889,0.000006653524,0.0001364829,0.9986925,0.00009041875,0.00008934717,0.0009228755],"study_design_scores_gemma":[0.00009740656,0.00004930362,0.00006114568,0.00003235935,0.00001684022,0.0001873703,0.00002540544,0.006474878,0.9922005,0.0006824781,0.00006797114,0.0001043652],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8126786,0.000142941,0.1869726,0.00005416968,0.00002758559,0.00003298299,9.844309e-7,0.00005973072,0.00003039801],"genre_scores_gemma":[0.9728444,0.000122258,0.02684724,0.000008947781,0.0001090364,3.79173e-7,0.00002556152,0.00001360926,0.00002862781],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1601658,"threshold_uncertainty_score":0.3795945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004326574553028927,"score_gpt":0.2231850296760811,"score_spread":0.2188584551230522,"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."}}