{"id":"W3091042047","doi":"10.3389/fchem.2020.580022","title":"Efficient White Electrochemiluminescent Emission From Carbon Quantum Dot Films","year":2020,"lang":"en","type":"article","venue":"Frontiers in Chemistry","topic":"Carbon and Quantum Dots Applications","field":"Materials Science","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"Rosstech Signals (Canada); Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Xiamen University; Canada Foundation for Innovation","keywords":"Quantum dot; Electrochemiluminescence; Carbon quantum dots; Carbon fibers; Nanotechnology; Materials science; Optoelectronics; Photochemistry; Chemistry; Chemical engineering; Detection limit; Chromatography; Composite material; Engineering","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":[0.00009683258,0.0002048562,0.0002792499,0.00001934841,0.00005141612,0.00004119389,0.0003617682,0.0001439211,0.0004081766],"category_scores_gemma":[0.00007992474,0.0002045162,0.00006829211,0.0002675472,0.00007652264,0.00001709249,0.0001016258,0.0002343344,0.00001834978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001101049,"about_ca_system_score_gemma":0.00008069369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006226703,"about_ca_topic_score_gemma":9.747986e-7,"domain_scores_codex":[0.9984226,0.00001767679,0.000332031,0.000582753,0.0002845634,0.000360439],"domain_scores_gemma":[0.9992375,0.00001880709,0.0001100765,0.0003643462,0.00003303817,0.0002361781],"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":[0.00006152379,0.00006705953,0.002267181,0.00004096416,0.000003910994,0.000007249585,0.0003362635,0.0001613091,0.9824203,0.000006165907,0.01456054,0.0000675318],"study_design_scores_gemma":[0.0004449197,0.000009646331,0.0002338336,0.0000375745,0.0000134671,0.000001545615,0.0004210133,0.06534341,0.9312944,0.0000945203,0.001860784,0.0002448867],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938416,0.000594645,0.0006003879,0.001144865,0.0002997101,0.0001478046,0.00004488071,0.0001312596,0.003194876],"genre_scores_gemma":[0.9973643,0.00002404198,0.001853453,0.0002598196,0.0002078271,0.00004352002,0.00006565676,0.00002524604,0.0001561359],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0651821,"threshold_uncertainty_score":0.8339927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008531381884661814,"score_gpt":0.2166121600419366,"score_spread":0.2080807781572748,"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."}}