{"id":"W3095988813","doi":"10.1021/acsami.0c16238","title":"Atomic Precision Graphene Model Compound for Bright Electrochemiluminescence and Organic Light-Emitting Diodes","year":2020,"lang":"en","type":"article","venue":"ACS Applied Materials & Interfaces","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Western University","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; Canada Foundation for Innovation; Wuhan National Laboratory for Optoelectronics; Ministry of Education of the People's Republic of China; University of Calgary","keywords":"Electrochemiluminescence; Materials science; OLED; Luminescence; Optoelectronics; Graphene; Perylene; Diimide; Excited state; Molecule; Photochemistry; Electrode; Nanotechnology; Layer (electronics); Physical chemistry; Atomic physics; Chemistry","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":[0.0001098036,0.0002851414,0.00010114,0.0001557622,0.00008728807,0.0001466521,0.0003013346,0.0002210848,0.0009025095],"category_scores_gemma":[0.0001023685,0.0001068092,0.00008360918,0.0002132595,0.0001351866,0.0002274212,0.0001464802,0.000288744,0.0001992737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004131015,"about_ca_system_score_gemma":0.0001194451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000314458,"about_ca_topic_score_gemma":0.0006584596,"domain_scores_codex":[0.9999007,0.00001681058,0.000004952413,0.00002218722,0.0000410592,0.00001432853],"domain_scores_gemma":[0.9999682,0.000006731659,0.000008066489,0.000006082822,0.000006241901,0.000004694626],"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":[0.00003015281,0.00001472308,0.00006985126,0.00009196006,0.000003180366,0.00004712105,0.00000872219,0.0003265657,0.994206,0.001358419,0.0001512182,0.00369216],"study_design_scores_gemma":[0.00000686214,0.0001028495,0.0002912263,0.000002776551,0.000003843867,0.0001140433,0.000006616869,0.001801376,0.9927849,0.00008663583,0.004794534,0.000004456673],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9019493,0.007181176,0.06880041,0.0004815695,0.0001304607,0.0001929272,0.001027017,0.0003314602,0.01990559],"genre_scores_gemma":[0.9671746,0.001310566,0.02772631,0.00006218464,0.00001028319,0.00006528632,0.0003970875,0.00001913606,0.003234575],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009025095,"threshold_uncertainty_score":0.003019154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01055033132896996,"score_gpt":0.2463278740981807,"score_spread":0.2357775427692107,"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."}}