{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006267151,0.0007313041,0.000436802,0.0006210973,0.0002229752,0.0004437472,0.0006049293,0.0008291067,0.001936143],"category_scores_gemma":[0.0006959959,0.000317332,0.0002950601,0.0003850025,0.0003007823,0.000489291,0.0004910867,0.0009650357,0.001506561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003334752,"about_ca_system_score_gemma":0.000228933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003399928,"about_ca_topic_score_gemma":0.001268898,"domain_scores_codex":[0.9992647,0.0001802416,0.00003786777,0.0001909136,0.0002895855,0.00003667006],"domain_scores_gemma":[0.9996673,0.0001453104,0.00004021118,0.00005326546,0.00007734633,0.00001666997],"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":[0.00002481901,0.00001967003,0.0001071881,0.0000919935,0.00000538529,0.00004118774,0.0000237713,0.0001180099,0.9892062,0.0006219581,0.0001473561,0.009592461],"study_design_scores_gemma":[0.000005448498,0.0001073601,0.0004484955,0.00001325003,0.00001103588,0.0002066057,0.0000269445,0.003153057,0.9905663,0.0004779747,0.004970682,0.00001297163],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2648073,0.02991823,0.6812161,0.001311709,0.0008867061,0.0004623234,0.001185998,0.002599064,0.01761266],"genre_scores_gemma":[0.6122313,0.008184779,0.3664162,0.0003948532,0.0001191026,0.0003603514,0.0005711076,0.0001981946,0.01152408],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001936143,"threshold_uncertainty_score":0.006476998,"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."}}