{"id":"W2985639246","doi":"10.1002/anie.201913445","title":"Dual Enhancement of Gold Nanocluster Electrochemiluminescence: Electrocatalytic Excitation and Aggregation‐Induced Emission","year":2019,"lang":"en","type":"article","venue":"Angewandte Chemie International Edition","topic":"Nanocluster Synthesis and Applications","field":"Materials Science","cited_by":230,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Electrochemiluminescence; Dual (grammatical number); Excitation; Aggregation-induced emission; Materials science; Nanotechnology; Optoelectronics; Chemistry; Physics; Electrode; Fluorescence; Optics; Physical chemistry; Art","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":[0.0002672032,0.0003699982,0.0002490166,0.0002213237,0.00008376943,0.0003357847,0.0003159148,0.0003875432,0.0008312838],"category_scores_gemma":[0.0002940241,0.0002019414,0.0002295301,0.0001520381,0.000275466,0.0002818228,0.0003499869,0.0005944006,0.0003404837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004462956,"about_ca_system_score_gemma":0.0001385707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003932349,"about_ca_topic_score_gemma":0.0006026829,"domain_scores_codex":[0.9997779,0.00003009519,0.00001518328,0.00006857696,0.00006726685,0.00004109427],"domain_scores_gemma":[0.9998472,0.00003921219,0.00002439512,0.00001670886,0.00004815419,0.00002427368],"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":[0.00001400837,0.000005737006,0.00002055973,0.00001886715,0.000001737128,0.00001194323,0.000007619515,0.0000340347,0.9989229,0.00009344841,0.00005224608,0.0008168145],"study_design_scores_gemma":[0.000003139527,0.00001339996,0.0001101449,8.368236e-7,0.000001892309,0.00001859692,0.000001828919,0.0005910543,0.9989476,0.00001061299,0.000299435,0.000001545387],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9552009,0.002171264,0.03666167,0.0003989566,0.0001053155,0.00005813876,0.0002439879,0.0006996057,0.004460177],"genre_scores_gemma":[0.9823045,0.0004169543,0.01441602,0.0001102019,0.00001514895,0.00002905497,0.0001056276,0.0000499329,0.002552614],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008312838,"threshold_uncertainty_score":0.003238082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01012881250391452,"score_gpt":0.247621387671349,"score_spread":0.2374925751674344,"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."}}