{"id":"W2321636454","doi":"10.1021/jp106666t","title":"Optimal Size of Silver Nanoparticles for Surface-Enhanced Raman Spectroscopy","year":2011,"lang":"en","type":"article","venue":"The Journal of Physical Chemistry C","topic":"Gold and Silver Nanoparticles Synthesis and Applications","field":"Materials Science","cited_by":394,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Dispersity; Nanoparticle; Raman spectroscopy; Silver nanoparticle; Particle size; Raman scattering; Adsorption; Materials science; Excitation; Nanotechnology; Chemical engineering; Analytical Chemistry (journal); Photochemistry; Chemistry; Optics; Physical chemistry; Organic 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000284071,0.00008598199,0.000214182,0.000003132454,0.00006827799,0.0000121992,0.0003200661,0.00002221587,0.0002030282],"category_scores_gemma":[0.00005835217,0.00005195496,0.0001333302,0.0000607317,0.0001471695,0.00007754355,0.00002914309,0.00006441928,0.000008688026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001208252,"about_ca_system_score_gemma":0.0000345283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004121335,"about_ca_topic_score_gemma":1.604365e-7,"domain_scores_codex":[0.9992874,0.00002428151,0.0002797744,0.00007753505,0.0001624774,0.0001685861],"domain_scores_gemma":[0.9990731,0.0002833365,0.0002815881,0.0001778789,0.0001163647,0.00006768097],"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":[0.0001825624,0.0002665378,0.000009831219,0.00001956401,0.00001159758,2.411532e-7,0.0006867921,0.0001957754,0.9983276,0.0001348702,0.0001198017,0.00004480806],"study_design_scores_gemma":[0.0002905616,0.0001200825,0.0001551781,0.00002045202,0.00006739973,0.00000335676,0.0002432537,0.0001367655,0.9978675,0.000995421,0.00003578722,0.00006419529],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992684,0.00003483987,0.0001030937,0.00009290381,0.00002101872,0.00006817107,0.00001028228,0.000007163777,0.0003940906],"genre_scores_gemma":[0.9974992,0.000005175326,0.002273006,0.00001266926,0.000142461,0.000002573997,1.514981e-7,0.000007767035,0.0000569496],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002169912,"threshold_uncertainty_score":0.2223016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01866295272353061,"score_gpt":0.2500371451825432,"score_spread":0.2313741924590126,"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."}}