{"id":"W2765322715","doi":"10.1021/acs.langmuir.7b03021","title":"Quantifying the Selective Modification of Au(111) Facets via Electrochemical and Electroless Treatments for Manipulating Gold Nanorod Surface Composition","year":2017,"lang":"en","type":"article","venue":"Langmuir","topic":"Molecular Junctions and Nanostructures","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Nanorod; Electrochemistry; Fluorophore; Selectivity; Electrode; Monolayer; Materials science; Desorption; Chemical engineering; Self-assembled monolayer; Surface modification; Chemistry; Nanotechnology; Analytical Chemistry (journal); Fluorescence; Adsorption; Catalysis; Chromatography; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004187214,0.0005015002,0.0003080675,0.0002610497,0.0001329781,0.0004418879,0.0004678364,0.000576382,0.0005087107],"category_scores_gemma":[0.0006967344,0.0002850417,0.0001977293,0.0002082501,0.0002852097,0.0003172262,0.0002539096,0.0004280326,0.0002080031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003236716,"about_ca_system_score_gemma":0.0001749754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00058235,"about_ca_topic_score_gemma":0.001639085,"domain_scores_codex":[0.9993648,0.00009541243,0.00005776635,0.0001513449,0.0002631313,0.00006753428],"domain_scores_gemma":[0.9997156,0.00009503013,0.00006258159,0.00003364235,0.00007309012,0.00002007628],"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":[0.000005948234,0.000002873907,0.00005638793,0.00001358056,0.000001644831,0.000004798219,0.000004891675,0.00001337521,0.9992356,0.00001342498,0.000004202411,0.0006431673],"study_design_scores_gemma":[0.000001168238,0.00001945824,0.0006691832,0.000001009263,0.000003815926,0.00002209634,0.000006561526,0.000439139,0.9986656,0.00001067361,0.0001599245,0.000001390774],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9277058,0.002044693,0.06723043,0.0001710912,0.00008025163,0.0001059824,0.0003866919,0.0002829187,0.001992199],"genre_scores_gemma":[0.9267282,0.001323013,0.06915594,0.0001312249,0.00001816742,0.0001167279,0.0002746821,0.00004282179,0.002209114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00058235,"threshold_uncertainty_score":0.002348363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02343052831580546,"score_gpt":0.2685387245383753,"score_spread":0.2451081962225698,"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."}}