{"id":"W4309813895","doi":"10.1149/ma2022-02642341mtgabs","title":"(Digital Presentation) Synthesis of Fluorescent Carbon Nanoparticles (CNPs) By Microwave-Assisted Polymerization of Sp-Carbon Rich Precursors","year":2022,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Polydiacetylene-based materials and applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Fluorescence; Nanoparticle; Surface modification; Materials science; Carbon fibers; Polymerization; Nanomaterials; Catalysis; Nanotechnology; Photochemistry; Chemical engineering; Combinatorial chemistry; Chemistry; Polymer; Organic chemistry; Composite number","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":[0.0001965073,0.0001663786,0.0002547328,0.00005783498,0.0001150076,0.00003619185,0.0002196818,0.00006217553,0.00006992566],"category_scores_gemma":[0.0002213759,0.0001898904,0.00006590293,0.0002049307,0.00007093785,0.00006055171,0.00009423289,0.00009940779,0.000001456544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006782034,"about_ca_system_score_gemma":0.00007714304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004324423,"about_ca_topic_score_gemma":0.000004163777,"domain_scores_codex":[0.998399,0.00004761489,0.0006425005,0.0002848615,0.0003737092,0.0002523638],"domain_scores_gemma":[0.9986697,0.0002334829,0.0006513758,0.0003058834,0.00006080995,0.00007874548],"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":[0.00006185333,0.0003983946,0.002689969,0.0001646064,0.00004034265,0.00000116617,0.0001786376,0.001853726,0.9933306,0.00000599499,0.00006876842,0.001205923],"study_design_scores_gemma":[0.0002641648,0.00002084853,0.001901665,0.00008159156,0.00006115047,0.000003397716,0.0004183295,0.000294627,0.9966036,0.0000194342,0.0001652087,0.0001659906],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9681695,0.0002294793,5.756388e-7,0.0001036093,0.00007362195,0.000125593,0.0003659017,0.00006217663,0.03086956],"genre_scores_gemma":[0.9993517,0.00001235191,0.0001554452,0.000006436406,0.00004482541,0.0001052798,0.000143739,0.00003724074,0.0001429792],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03118222,"threshold_uncertainty_score":0.7743506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008923917244555143,"score_gpt":0.2181312874111506,"score_spread":0.2092073701665955,"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."}}