{"id":"W4393171139","doi":"10.1039/d3tc04577c","title":"Enhancing gold nanoparticle immobilization on thiolated silica: utilizing neutral ligands to achieve maximum surface coverage for improved SERS substrates","year":2024,"lang":"en","type":"article","venue":"Journal of Materials Chemistry C","topic":"Gold and Silver Nanoparticles Synthesis and Applications","field":"Materials Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut Universitaire en Santé Mentale de Québec; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Materials science; Ligand (biochemistry); Nanotechnology; Nanoparticle; Colloidal gold; Chemical engineering; Combinatorial chemistry; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000408195,0.0006682955,0.0003290131,0.0002289564,0.0001870033,0.0005168159,0.0004833466,0.0006286983,0.000481117],"category_scores_gemma":[0.000397677,0.0002913812,0.0002501298,0.0001549021,0.0003546133,0.0003934687,0.0003672015,0.0003398074,0.0003351829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003264899,"about_ca_system_score_gemma":0.0002707109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005603955,"about_ca_topic_score_gemma":0.001469817,"domain_scores_codex":[0.9997342,0.00004051196,0.00002554502,0.00006239123,0.00009044282,0.00004685369],"domain_scores_gemma":[0.9998301,0.00004725705,0.00002583304,0.00001231336,0.00006143611,0.00002302202],"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":[0.000007871518,0.000004440347,0.00002558184,0.00002643834,0.000001971706,0.00001805498,0.00001173337,0.00005046521,0.9993076,0.00004697339,0.000007862965,0.0004909585],"study_design_scores_gemma":[0.000001643238,0.00002600707,0.00008479859,0.000001118306,0.000002652961,0.00002548834,0.000004431423,0.0006798278,0.9989346,0.000009988995,0.0002271112,0.000002413684],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9591169,0.001185889,0.03704594,0.0002337747,0.00006387828,0.00007146731,0.00004253904,0.0002498451,0.001989814],"genre_scores_gemma":[0.9662605,0.0006776563,0.03095013,0.0001262515,0.0000192654,0.00002649364,0.00007278165,0.00004731559,0.001819664],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006682955,"threshold_uncertainty_score":0.002368808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01406060100875569,"score_gpt":0.2541219885882564,"score_spread":0.2400613875795007,"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."}}