{"id":"W4393356716","doi":"10.3390/cryst14040338","title":"Multimodal Spectroscopy Assays for Advanced Nano-Optics Approaches by Tuning Nano-Tool Surface Chemistry and Metal-Enhanced Fluorescence","year":2024,"lang":"en","type":"article","venue":"Crystals","topic":"Gold and Silver Nanoparticles Synthesis and Applications","field":"Materials Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universidad de Córdoba; Consejo Nacional de Investigaciones Científicas y Técnicas; Centre québécois sur les matériaux fonctionnels; Universidad Nacional de Córdoba; Université Laval","keywords":"Nano-; Fluorescence; Fluorescence spectroscopy; Nanotechnology; Spectroscopy; Materials science; Metal; Chemistry; Optics; Physics; Metallurgy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0003640736,0.0002112255,0.0002690953,0.00001205501,0.0002312075,0.0002970762,0.0001862098,0.00008383927,0.00007765299],"category_scores_gemma":[0.00006926595,0.0001836915,0.00007981234,0.0001288105,0.0001449485,0.000241048,0.0000686145,0.00007365554,0.00002223956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000355856,"about_ca_system_score_gemma":0.000051642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004195106,"about_ca_topic_score_gemma":4.415462e-7,"domain_scores_codex":[0.9985468,0.00002310025,0.0002980519,0.0005566241,0.0001772623,0.000398093],"domain_scores_gemma":[0.9992818,0.000223846,0.00007154291,0.0002763544,0.00004111432,0.0001053532],"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":[0.00001444409,0.00005049994,0.000006622217,0.0001397922,0.00001205946,7.241582e-7,0.0001598711,0.00006845956,0.995676,0.000664222,0.0003295408,0.002877695],"study_design_scores_gemma":[0.0002357278,0.00002855594,0.000007184326,0.00007809485,0.00004061122,0.000003376987,0.0002211877,0.01310062,0.9840332,0.0005986286,0.001406191,0.000246678],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9677936,0.001400133,0.02927065,0.000221777,0.0001007989,0.0004066028,0.0002521146,0.0001731872,0.0003811792],"genre_scores_gemma":[0.9387511,0.0000770909,0.06030266,0.00001994263,0.00006128879,0.0001200799,0.00002518386,0.00003038624,0.0006122445],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03103201,"threshold_uncertainty_score":0.7490722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01865562316944098,"score_gpt":0.247295722671349,"score_spread":0.2286400995019081,"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."}}