{"id":"W2260459330","doi":"10.1021/acsami.5b08782","title":"Fluorescent N-Doped Carbon Dots as <i>in Vitro</i> and <i>in Vivo</i> Nanothermometer","year":2015,"lang":"en","type":"article","venue":"ACS Applied Materials & Interfaces","topic":"Carbon and Quantum Dots Applications","field":"Materials Science","cited_by":154,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Light Source (Canada)","funders":"Collaborative Innovation Center of Suzhou Nano Science and Technology; Priority Academic Program Development of Jiangsu Higher Education Institutions; Suzhou University of Science and Technology; Ministry of Science and Technology of the People's Republic of China; Ministry of Education of the People's Republic of China; National Natural Science Foundation of China","keywords":"Fluorescence; Materials science; In vivo; Carbon fibers; Ionic bonding; Doping; Photochemistry; Hydrogen bond; Analytical Chemistry (journal); Nanotechnology; Molecule; Optoelectronics; Ion; Optics; Chemistry; Organic chemistry; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002604321,0.0003440155,0.0001512553,0.0001587492,0.0001370553,0.0001557991,0.000244452,0.0005006321,0.0006171759],"category_scores_gemma":[0.0001555568,0.0001164396,0.0001254216,0.0001265967,0.0002479039,0.0002661389,0.0001299021,0.0003080207,0.0001374828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003226179,"about_ca_system_score_gemma":0.0001493665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007231912,"about_ca_topic_score_gemma":0.001436156,"domain_scores_codex":[0.9998589,0.0000309903,0.000006994035,0.00005137749,0.00003218318,0.00001953852],"domain_scores_gemma":[0.9998916,0.00002728389,0.00002415,0.0000148388,0.00002276519,0.00001920434],"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":[0.00003064977,0.000008418734,0.00005676377,0.00002230603,0.000001538413,0.00002151694,0.000008419489,0.00008980575,0.9988849,0.00008301983,0.00003971175,0.0007530851],"study_design_scores_gemma":[0.000003740234,0.00007148239,0.0003693836,0.000002217321,0.00000461117,0.00003410245,0.000005125083,0.0008169442,0.9981385,0.00001624618,0.0005344171,0.000003211621],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9655815,0.002495671,0.02704656,0.0002613198,0.0001108767,0.00007474295,0.0005232911,0.0002681948,0.003637979],"genre_scores_gemma":[0.9719074,0.0009285168,0.02346032,0.0001309969,0.00001758024,0.00009561113,0.0002968222,0.00002721868,0.003135392],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007231912,"threshold_uncertainty_score":0.002340794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0167414796548435,"score_gpt":0.2480565477912154,"score_spread":0.2313150681363719,"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."}}