{"id":"W2019650980","doi":"10.1002/adfm.200800961","title":"Nanoaggregate‐Embedded Beads as Novel Raman Labels for Biodetection","year":2008,"lang":"en","type":"article","venue":"Advanced Functional Materials","topic":"Gold and Silver Nanoparticles Synthesis and Applications","field":"Materials Science","cited_by":88,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Microstructural Sciences","funders":"National Science Council","keywords":"Raman spectroscopy; Materials science; Raman scattering; Nanotechnology; Nanoparticle; Colloidal gold; Optics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002313021,0.0001853826,0.0002530036,0.00005688649,0.0005571227,0.00006543986,0.0001379489,0.0000838624,0.001208963],"category_scores_gemma":[0.0001113236,0.0001633187,0.00007798361,0.0001340546,0.0001065659,0.0003113801,0.00003580268,0.00003223629,0.0006122022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006301355,"about_ca_system_score_gemma":0.00005101459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000369511,"about_ca_topic_score_gemma":0.000003947815,"domain_scores_codex":[0.9986206,0.00002886126,0.0003814725,0.0004169956,0.0002198959,0.0003321969],"domain_scores_gemma":[0.9991698,0.0001465306,0.0001669153,0.0002619147,0.0001594345,0.00009541711],"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":[0.0002157706,0.0001225169,0.00001311816,0.00001192454,0.000008174262,7.108375e-7,0.00003224417,0.000088741,0.9879699,0.009771868,0.0003969941,0.001367978],"study_design_scores_gemma":[0.0008482218,0.0001230779,0.0007093525,0.00001998053,0.00001812627,0.00004268084,0.00004665748,0.00001250841,0.9876474,0.001409838,0.008909116,0.0002130911],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940024,0.0000534139,0.003159352,0.0002758456,0.001139642,0.0004746654,0.0002343966,0.0001845872,0.0004756819],"genre_scores_gemma":[0.9916292,0.0000291839,0.005796855,0.0002882182,0.0003233816,0.0005679267,0.00006507656,0.00002772457,0.001272411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008512122,"threshold_uncertainty_score":0.9997041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0331624426756303,"score_gpt":0.2474095998238462,"score_spread":0.2142471571482159,"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."}}