{"id":"W1986092887","doi":"10.1117/12.2007352","title":"High sensitivity surface enhanced Raman scattering detection of organic molecules and amino acids","year":2012,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Gold and Silver Nanoparticles Synthesis and Applications","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Raman scattering; Sensitivity (control systems); Molecule; Materials science; Organic molecules; Scattering; Surface (topology); Raman spectroscopy; Chemistry; Chemical engineering; Nanotechnology; Optics; Organic chemistry; Physics; Electronic engineering","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":[0.0003713431,0.0004521412,0.000468776,0.0002794279,0.0001158739,0.0003094114,0.0003093371,0.000558776,0.0007805114],"category_scores_gemma":[0.0004973109,0.0002174577,0.0002804622,0.0002555489,0.0002757519,0.000337771,0.0002732417,0.0003729472,0.0003801727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001744809,"about_ca_system_score_gemma":0.0001258931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002263163,"about_ca_topic_score_gemma":0.0003856816,"domain_scores_codex":[0.9996001,0.00008772494,0.00001958158,0.00008020835,0.0001739572,0.00003847628],"domain_scores_gemma":[0.9997677,0.0001068879,0.00003758336,0.00001285304,0.00006092212,0.00001410183],"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":[0.00001693779,0.000003767157,0.00008043477,0.00005077235,0.000003752682,0.00002665638,0.000006835468,0.00009569945,0.9984194,0.00005253288,0.00001491247,0.001228217],"study_design_scores_gemma":[0.000003320099,0.00007627488,0.0005257476,0.000003564488,0.00000621304,0.0001081033,0.00001546251,0.000876444,0.9975283,0.00006497083,0.0007861078,0.00000560437],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9004354,0.01108683,0.08243131,0.000284417,0.0001722022,0.00008571969,0.000197672,0.0005550831,0.00475137],"genre_scores_gemma":[0.924972,0.004467541,0.06526345,0.0001417688,0.00005494579,0.00004970585,0.0001701271,0.00003816338,0.004842336],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007805114,"threshold_uncertainty_score":0.002611101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008585101755507748,"score_gpt":0.209655383032985,"score_spread":0.2010702812774773,"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."}}