{"id":"W2097958787","doi":"10.1039/c2jm33158f","title":"Functionalization of silver nanowire surfaces with copper oxide for surface-enhanced Raman spectroscopic bio-sensing","year":2012,"lang":"en","type":"article","venue":"Journal of Materials Chemistry","topic":"Gold and Silver Nanoparticles Synthesis and Applications","field":"Materials Science","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Surface modification; Nanowire; Copper; Materials science; Copper oxide; Nanocomposite; Biomolecule; Oxide; Nanotechnology; Raman spectroscopy; Surface roughness; Molecule; Nanoparticle; Chemical engineering; Chemistry; Metallurgy; Composite material; Organic chemistry; Optics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001568598,0.0005163498,0.0002303999,0.0002192156,0.0001916579,0.0002515604,0.0004221399,0.0003270067,0.00068589],"category_scores_gemma":[0.0002633468,0.0003091375,0.00023916,0.0001222159,0.0001686713,0.0001689001,0.0001971555,0.0002801217,0.0003231733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00020628,"about_ca_system_score_gemma":0.0001486847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005024227,"about_ca_topic_score_gemma":0.0008526462,"domain_scores_codex":[0.9998603,0.00001720696,0.000007733526,0.00003096861,0.00005205065,0.00003173625],"domain_scores_gemma":[0.9999267,0.00001622328,0.00001362969,0.000008388961,0.00002240366,0.00001272062],"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":[0.00001200568,0.000006798112,0.00002332377,0.00001827414,0.000001719906,0.00002812595,0.000006147988,0.00003633693,0.998907,0.000045291,0.00003454148,0.0008804584],"study_design_scores_gemma":[0.000002306241,0.00003522224,0.000178187,0.000001248113,0.000002632621,0.00003482669,0.000003864639,0.0006727509,0.9985362,0.00001687381,0.0005132311,0.000002722653],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9645509,0.001677415,0.02839783,0.0002044619,0.0001762481,0.00006733354,0.0001991616,0.0003412488,0.004385521],"genre_scores_gemma":[0.9783478,0.0006585963,0.01736222,0.00005590929,0.00001982415,0.00004678967,0.0002379868,0.00005779296,0.003213082],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00068589,"threshold_uncertainty_score":0.00229454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01330680296928611,"score_gpt":0.2362679814906213,"score_spread":0.2229611785213352,"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."}}