{"id":"W4366146725","doi":"10.11159/icnnfc23.122","title":"Anatase Nanoparticles for Raman Nanothermometry","year":2023,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Recent Advances in Nanotechnology","topic":"Gold and Silver Nanoparticles Synthesis and Applications","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Università degli Studi di Padova","keywords":"Raman spectroscopy; Anatase; Nanoparticle; Materials science; Computer science; Nanotechnology; Chemistry; Physics; Optics; Photocatalysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000383174,0.0001424963,0.0002549838,0.0003357659,0.0001452638,0.00002793412,0.0007303815,0.00007368644,0.00004815772],"category_scores_gemma":[0.0002866201,0.0001011718,0.00006738553,0.001660464,0.0002929805,0.0001617535,0.0001561477,0.0001027623,0.00003020112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000377405,"about_ca_system_score_gemma":0.00001412663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001486854,"about_ca_topic_score_gemma":0.00003681715,"domain_scores_codex":[0.9987032,0.000008955132,0.000363204,0.0003500233,0.0001820793,0.0003924952],"domain_scores_gemma":[0.9992182,0.0001948762,0.0002403077,0.0002121381,0.0001025408,0.00003193452],"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":[0.00007791213,0.0000871686,0.001285078,0.00004268659,0.000002923683,2.798617e-7,0.00001636196,0.00005477781,0.9089612,0.05723528,0.001054054,0.03118226],"study_design_scores_gemma":[0.0003878783,0.00004598381,0.0001651902,0.0001033977,0.000007370004,7.610926e-7,0.0001055997,0.0001122526,0.8750352,0.01070621,0.1132209,0.0001092218],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922552,0.0005995568,0.000001213311,0.005555471,0.0005225783,0.0005204492,0.00003169051,0.0001794207,0.0003344881],"genre_scores_gemma":[0.9976379,0.0009445013,0.0003990953,0.0001328651,0.00002514625,0.0003368366,0.000001273517,0.00001813393,0.000504195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1121669,"threshold_uncertainty_score":0.4125664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01556531202863342,"score_gpt":0.2819628472734038,"score_spread":0.2663975352447703,"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."}}