{"id":"W2771353688","doi":"10.1021/acs.analchem.7b03968","title":"Digital Protocol for Chemical Analysis at Ultralow Concentrations by Surface-Enhanced Raman Scattering","year":2017,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Gold and Silver Nanoparticles Synthesis and Applications","field":"Materials Science","cited_by":123,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"British Columbia Knowledge Development Fund; Natural Sciences and Engineering Research Council of Canada; Ciência sem Fronteiras; University of Victoria; Fundação de Amparo à Pesquisa do Estado de São Paulo; Canada Foundation for Innovation","keywords":"Chemistry; Raman scattering; Raman spectroscopy; Molecule; Analytical Chemistry (journal); Surface-enhanced Raman spectroscopy; Nanotechnology; Optics; Chromatography; Materials science; Physics","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":[0.001559277,0.001802594,0.001000173,0.001593602,0.001321319,0.0007992327,0.001785251,0.001384133,0.01409851],"category_scores_gemma":[0.001398317,0.00109736,0.000645282,0.001297858,0.001107079,0.0008670536,0.001281103,0.003498174,0.007328667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007511431,"about_ca_system_score_gemma":0.001385797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004881567,"about_ca_topic_score_gemma":0.001377957,"domain_scores_codex":[0.9982716,0.0003289158,0.0001871377,0.0003846511,0.0007095604,0.0001179891],"domain_scores_gemma":[0.9990979,0.0001814873,0.00009511589,0.0003222188,0.0002364516,0.00006684482],"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":[0.0001578084,0.0001619027,0.0001654531,0.0006300325,0.0000431529,0.0002671501,0.0001210986,0.0007466183,0.9416685,0.00712383,0.01021002,0.03870445],"study_design_scores_gemma":[0.0001104664,0.0004731422,0.000807554,0.00008299042,0.00005478744,0.000878163,0.00004674881,0.005530749,0.7606587,0.003349832,0.2278851,0.0001217239],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02001018,0.0023826,0.9532146,0.000522361,0.0009152857,0.003968379,0.003194553,0.004826231,0.01096578],"genre_scores_gemma":[0.05104724,0.004297038,0.8841179,0.0007765751,0.0001656125,0.02485696,0.009711033,0.0006876784,0.02434006],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01409851,"threshold_uncertainty_score":0.04716426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02164004841746775,"score_gpt":0.303641083207391,"score_spread":0.2820010347899232,"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."}}