{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001414928,0.0002392738,0.0003048563,0.00002644051,0.0001125976,0.00008730677,0.0002029591,0.0001546093,0.000002210663],"category_scores_gemma":[0.00004570468,0.0002005819,0.00002463856,0.00006978246,0.00007361404,0.00000717883,0.0001814064,0.00005228619,0.000001533853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009434651,"about_ca_system_score_gemma":0.00001897324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001708042,"about_ca_topic_score_gemma":0.000002811336,"domain_scores_codex":[0.9987862,0.00001553326,0.0003122328,0.0005506214,0.00008722151,0.0002481572],"domain_scores_gemma":[0.9994863,0.00001623411,0.0001623788,0.0002036393,0.0000707614,0.00006069841],"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":[0.0003027087,0.00001679603,0.00001027313,0.00005085342,0.00004831569,2.947481e-7,0.00005163544,0.000002719879,0.9983724,0.00006478583,0.0004982368,0.0005809226],"study_design_scores_gemma":[0.000280232,0.0001248311,0.000004247117,0.0000245539,0.00005040676,0.000005772327,0.00004256478,0.00005377163,0.9981282,0.0007432796,0.0002848069,0.0002572887],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917563,0.0002980863,0.007181528,0.0002811048,0.00002690695,0.0002992897,0.00004032123,0.00006486989,0.00005165912],"genre_scores_gemma":[0.9895746,0.0003421254,0.009349456,0.0003604761,0.0001602617,0.00003148076,0.0001095697,0.00003480207,0.00003722113],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002181627,"threshold_uncertainty_score":0.8179492,"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."}}