{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003980174,0.000144092,0.0002875143,0.0002753424,0.00002829771,0.000007464937,0.00008179397,0.0001896554,0.00001583966],"category_scores_gemma":[0.00002091328,0.0001462047,0.00006246172,0.0007433852,0.0002681891,0.00004651258,0.00002666664,0.0001822257,0.00001486407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003449045,"about_ca_system_score_gemma":0.000001988735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002845067,"about_ca_topic_score_gemma":0.000006097112,"domain_scores_codex":[0.9992197,0.000006626588,0.0002364603,0.0002146101,0.00007678436,0.000245869],"domain_scores_gemma":[0.9996089,0.00009080918,0.00002944624,0.0002204312,0.00002624723,0.00002419087],"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":[0.000008730104,0.00001292928,0.002103714,0.00001524842,0.0001586709,0.00001918996,0.00002654679,0.03937234,0.9527693,0.00218057,0.0003352908,0.002997485],"study_design_scores_gemma":[0.0006434919,0.00004324692,0.0103356,0.0000284245,0.0005854503,0.00003989783,0.0001031568,0.06691799,0.9138573,0.000753444,0.00616222,0.0005298203],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901592,0.0003844276,0.007103824,0.001094634,0.00003365138,0.00007103995,0.000009529036,0.0002281391,0.0009155708],"genre_scores_gemma":[0.9395017,0.0000321228,0.06011472,0.00008233498,0.00001486292,0.000002745722,0.00001147084,0.00002160892,0.0002184545],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0530109,"threshold_uncertainty_score":0.5962055,"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."}}