{"id":"W3102796330","doi":"10.1117/12.2580085","title":"Receiver operating characteristics analysis of Surface Enhanced Raman Spectroscopy (SERS) sensors","year":2020,"lang":"en","type":"article","venue":"","topic":"Gold and Silver Nanoparticles Synthesis and Applications","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Analyte; Surface-enhanced Raman spectroscopy; Detection limit; Substrate (aquarium); Materials science; Raman spectroscopy; Nanotechnology; Computer science; Optoelectronics; Raman scattering; Optics; Chemistry; Chromatography; Physics","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":[0.004437893,0.001054754,0.001273256,0.002367901,0.0003710945,0.0009465272,0.001151209,0.001431089,0.001762595],"category_scores_gemma":[0.0153596,0.0004297564,0.000738885,0.001844722,0.0004512712,0.0008664677,0.0004176986,0.00138429,0.0009973053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005905089,"about_ca_system_score_gemma":0.0004213688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005832938,"about_ca_topic_score_gemma":0.0003369589,"domain_scores_codex":[0.9933861,0.001839489,0.0004955971,0.001013451,0.002934864,0.0003305834],"domain_scores_gemma":[0.9833814,0.01035905,0.001418824,0.0008545218,0.003849651,0.000136629],"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":[0.001362992,0.0005295422,0.01196704,0.0007857914,0.0003132895,0.0005522742,0.0004905179,0.01797059,0.846167,0.002758082,0.001414873,0.1156879],"study_design_scores_gemma":[0.00002940829,0.001364916,0.01198248,0.00003647037,0.0001408087,0.001262232,0.000114231,0.136549,0.8428276,0.0008674277,0.004667975,0.000157504],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2404392,0.002814027,0.7436147,0.0002236991,0.0002351586,0.0004056945,0.0009249778,0.005462907,0.005879654],"genre_scores_gemma":[0.8231117,0.001087362,0.1705651,0.000299484,0.0001255945,0.0007214134,0.0009373396,0.0004232506,0.00272886],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004437893,"threshold_uncertainty_score":0.0234701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01950433098409983,"score_gpt":0.2514847834874008,"score_spread":0.2319804525033009,"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."}}