{"id":"W2109563472","doi":"10.1017/s1431927608085061","title":"Surface Enhanced Raman (SERS) Nanoparticle Delivery Device for in-situ Sample Analysis","year":2008,"lang":"en","type":"article","venue":"Microscopy and Microanalysis","topic":"Ion-surface interactions and analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bruker (Canada)","funders":"","keywords":"Microanalysis; In situ; Raman spectroscopy; Materials science; Nanoparticle; Nanotechnology; Microscopy; Sample (material); Characterization (materials science); Analytical Chemistry (journal); 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001890708,0.0002706228,0.0006246514,0.0004744145,0.0002709172,0.00007737905,0.000159037,0.0001061437,0.0001124391],"category_scores_gemma":[0.00002514499,0.0002817387,0.000430897,0.001956228,0.00007059277,0.0002480525,0.00003524329,0.0001434171,0.00002512215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001090579,"about_ca_system_score_gemma":0.00002195869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008228706,"about_ca_topic_score_gemma":0.003668854,"domain_scores_codex":[0.9984878,0.00003947383,0.0004906339,0.0004251335,0.0001100835,0.0004469004],"domain_scores_gemma":[0.9991714,0.0002020562,0.00007247603,0.0003302638,0.0001136678,0.0001101723],"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":[0.00002903114,0.00005753018,0.01100006,0.00003678205,0.001468487,0.00000423845,0.0005911292,0.04913276,0.9369099,0.000004139258,0.0002642748,0.0005016856],"study_design_scores_gemma":[0.0005645929,0.00002477261,0.002574434,0.00001918919,0.001828935,0.00000381227,0.000556921,0.03698743,0.954787,0.00001873107,0.00222204,0.0004121094],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9651959,0.001591188,0.03266813,0.0000490591,0.00006447609,0.0001349845,0.00006908129,0.00009003935,0.000137139],"genre_scores_gemma":[0.9890926,0.001245697,0.009030024,0.00007190909,0.00002440217,0.00002041015,0.00009739828,0.00003037706,0.0003871814],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0238967,"threshold_uncertainty_score":0.9999635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01153271552282228,"score_gpt":0.2511049601150125,"score_spread":0.2395722445921902,"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."}}