{"id":"W2727911782","doi":"10.1149/ma2017-02/44/1954","title":"Finite Element Simulation of the Coreactant Electrogenerated Chemiluminescence Mechanism ","year":2017,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; McGill University","funders":"","keywords":"Luminophore; Electrochemiluminescence; Excited state; Ruthenium; Chemiluminescence; Chemistry; Cuvette; Cyclic voltammetry; Photochemistry; Bipyridine; Coulometry; Chronoamperometry; Electron transfer; Reaction mechanism; Luminescence; Analytical Chemistry (journal); Electrochemistry; Electrode; Physical chemistry; Materials science; Catalysis; Atomic physics; Organic chemistry; Optoelectronics; Optics; Crystal structure","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":[0.0004579877,0.0005204123,0.0007656895,0.0005060259,0.0006766549,0.0009223489,0.001247737,0.002139381,0.008036582],"category_scores_gemma":[0.002096252,0.0004838069,0.0008428065,0.0006183726,0.0006896697,0.0004387694,0.0005969722,0.0009244551,0.000550551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009626444,"about_ca_system_score_gemma":0.001460406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01670052,"about_ca_topic_score_gemma":0.01026091,"domain_scores_codex":[0.9997849,0.00005836199,0.000009403844,0.00002873786,0.00006947718,0.00004911855],"domain_scores_gemma":[0.9986077,0.001019509,0.00007189689,0.00005230381,0.0001880956,0.0000605347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000390086,0.0000343443,0.0006708636,0.00004814026,0.00001109524,0.00005881652,0.00004485201,0.9942082,0.00077469,0.00251556,0.0002917779,0.001302647],"study_design_scores_gemma":[0.0000103588,0.000008727531,0.00009606975,0.000006298422,0.000002418268,0.000005998967,0.00001913052,0.9988484,0.0002063686,0.0003889882,0.0004038463,0.000003174808],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6292444,0.0008911043,0.2715535,0.00151767,0.0003374441,0.0003500404,0.003549888,0.001253935,0.09130187],"genre_scores_gemma":[0.9035096,0.0003191621,0.07919029,0.0002913267,0.00002689145,0.000825142,0.001771966,0.0002035007,0.01386208],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01670052,"threshold_uncertainty_score":0.03320658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01459207522253533,"score_gpt":0.276566502292567,"score_spread":0.2619744270700317,"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."}}