{"id":"W2782725406","doi":"10.1016/j.saa.2018.01.030","title":"Self-assembled vertically aligned Au nanorod arrays for surface-enhanced Raman scattering (SERS) detection of Cannabinol","year":2018,"lang":"en","type":"article","venue":"Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy","topic":"Gold and Silver Nanoparticles Synthesis and Applications","field":"Materials Science","cited_by":40,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Raman scattering; Materials science; Nanorod; Nanotechnology; Cannabinol; Raman spectroscopy; Fabrication; Analyte; Yield (engineering); Optics; Chemistry; Composite material; Chromatography","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":[0.0001346245,0.0002909559,0.0002585644,0.0002084794,0.0001854461,0.0002788776,0.000428708,0.0003701893,0.0008484643],"category_scores_gemma":[0.0002062612,0.0003999075,0.0001892959,0.0001421529,0.0001350785,0.0002866868,0.0002204318,0.0002909581,0.0004731333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003037213,"about_ca_system_score_gemma":0.0001676411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000496955,"about_ca_topic_score_gemma":0.002442813,"domain_scores_codex":[0.9997765,0.00001971844,0.00001616319,0.00006293651,0.00008910956,0.0000354777],"domain_scores_gemma":[0.9999064,0.00001474083,0.00001744065,0.00001357185,0.00003069224,0.00001717071],"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":[0.00001744024,0.00001187725,0.00003343371,0.00001327634,0.000002276088,0.0000125328,0.000007668836,0.00006914161,0.9987376,0.00004018727,0.00004017976,0.001014372],"study_design_scores_gemma":[0.000005683582,0.00005378514,0.0002943378,9.674154e-7,0.000003926965,0.0000212721,0.000009705105,0.002145834,0.9968556,0.00001615676,0.000588599,0.00000404721],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9790033,0.0007319472,0.01549813,0.0001321621,0.0001552922,0.0000532616,0.0002201677,0.0003541164,0.003851678],"genre_scores_gemma":[0.9692242,0.0003183274,0.02567144,0.00008534508,0.00002546341,0.00005246203,0.0002146027,0.00003782224,0.00437046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008484643,"threshold_uncertainty_score":0.002838433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006684815348133364,"score_gpt":0.2393776736800375,"score_spread":0.2326928583319041,"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."}}