{"id":"W3025918524","doi":"10.1149/ma2021-0112593mtgabs","title":"(Invited) Carbon Dots – from Imaging to Green Energy Applications","year":2021,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Carbon and Quantum Dots Applications","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Quantum dot; Nanotechnology; Carbon fibers; Nanomaterials; Materials science; Luminescence; Nanoparticle; Quantum yield; Biocompatibility; Fluorescence; Passivation; Optoelectronics; Optics; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002433432,0.0001657859,0.0001897782,0.00006900646,0.0001851646,0.0001588496,0.0002688328,0.00005715631,0.00009367223],"category_scores_gemma":[0.0000837331,0.0001820118,0.00005681972,0.0003384673,0.00003915047,0.00006823062,0.0001507145,0.0001039476,0.0002088138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006361293,"about_ca_system_score_gemma":0.00005813556,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01133887,"about_ca_topic_score_gemma":0.0007679322,"domain_scores_codex":[0.998377,0.00004802151,0.0003769134,0.0005679819,0.0002810408,0.000349094],"domain_scores_gemma":[0.9986578,0.0002004038,0.0001396668,0.0006194782,0.0001414251,0.0002411954],"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":[0.000003420746,0.00005682889,0.0002296497,0.000005443093,0.000004402124,0.00001779807,0.0001593016,0.001099942,0.9956742,0.0001758067,0.001158879,0.001414325],"study_design_scores_gemma":[0.0001489044,0.000004365133,0.005293952,0.0000464093,0.00002406771,0.00001213818,0.0001316627,0.0006987336,0.8515764,0.001996383,0.139801,0.0002660141],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9288456,0.0004333547,0.0002127804,0.009570148,0.0002497473,0.0001539205,0.00007338527,0.0002720724,0.06018895],"genre_scores_gemma":[0.9921484,0.0000120098,0.003523826,0.003280508,0.0004837422,0.0001626041,0.00006326506,0.00003342445,0.0002922463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1440978,"threshold_uncertainty_score":0.9952447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01212963935572239,"score_gpt":0.2438866113972547,"score_spread":0.2317569720415323,"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."}}