{"id":"W2124677577","doi":"10.1002/mop.21956","title":"Perturbation analysis of fiber surface plasma resonance sensor","year":2006,"lang":"en","type":"article","venue":"Microwave and Optical Technology Letters","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Microstructural Sciences","funders":"","keywords":"Wavelength; Perturbation (astronomy); Microwave; Resonance (particle physics); Plasma; Physics; Dielectric; Optics; Computational physics; Atomic physics; Optoelectronics; Quantum mechanics","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":[0.0002716162,0.0004544201,0.0003001564,0.0004653293,0.0001944576,0.0002807319,0.0004229957,0.0003495475,0.001006463],"category_scores_gemma":[0.000741016,0.0001770055,0.0002856277,0.0002369635,0.00028669,0.0004507197,0.0002242921,0.0004626591,0.0004200984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000538464,"about_ca_system_score_gemma":0.0001717292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009555034,"about_ca_topic_score_gemma":0.0003495855,"domain_scores_codex":[0.9994356,0.00009432065,0.000008357601,0.00007720903,0.000355788,0.0000287625],"domain_scores_gemma":[0.9997461,0.0001126256,0.00002425271,0.00002234979,0.00008580958,0.000008880429],"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":[0.0002559821,0.000037744,0.0007943431,0.0001178701,0.00003250799,0.0002557629,0.0001004991,0.04105927,0.9117563,0.005642519,0.000840405,0.03910685],"study_design_scores_gemma":[0.000006474252,0.0001319518,0.001194297,0.000006607948,0.000009502857,0.0002062494,0.00001833872,0.711826,0.2838604,0.001570563,0.001147354,0.00002224227],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2804217,0.0006759598,0.7086652,0.0004911189,0.0001102786,0.0001293375,0.0002280952,0.00168853,0.007589863],"genre_scores_gemma":[0.9383565,0.0004131364,0.05839936,0.00005764881,0.00002452873,0.00006292549,0.0001341036,0.0000738829,0.002477913],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001006463,"threshold_uncertainty_score":0.003906906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004763081203479647,"score_gpt":0.191463536524963,"score_spread":0.1867004553214834,"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."}}