{"id":"W2162801607","doi":"10.1364/oe.14.011616","title":"Design of the microstructured optical fiber-based surface plasmon resonance sensors with enhanced microfluidics","year":2006,"lang":"en","type":"article","venue":"Optics Express","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":448,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Materials science; Surface plasmon resonance; Photonic-crystal fiber; Plasmon; Optical fiber; Surface plasmon; Refractive index; Optics; Microfluidics; Microstructured optical fiber; Fiber optic sensor; Optoelectronics; Single-mode optical fiber; Waveguide; Wavelength; Nanotechnology; Graded-index fiber; Nanoparticle","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00008301953,0.000340426,0.0003356586,0.00003857119,0.00008237718,0.00003136666,0.0003711513,0.0001884415,0.00001713879],"category_scores_gemma":[0.00003016768,0.0002653136,0.00007086615,0.0002952506,0.0002854907,0.00007840894,0.00004108351,0.0003015448,0.00001072374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008227966,"about_ca_system_score_gemma":0.00004345865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007630258,"about_ca_topic_score_gemma":0.000001727593,"domain_scores_codex":[0.9984373,0.00004665074,0.0003849709,0.0003137254,0.0003486296,0.000468731],"domain_scores_gemma":[0.9986981,0.0003100799,0.00009806597,0.0007021357,0.0001254305,0.00006614607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005589651,0.00001413292,0.00002124082,0.0000280011,0.000009827513,0.000004361942,0.00004850242,0.5183145,0.4812244,0.0000575585,0.0001560957,0.00006547123],"study_design_scores_gemma":[0.0007820504,0.00004697176,0.0002175423,0.0001105992,0.00003276223,0.00001129375,0.00002793485,0.05281512,0.9447758,0.00006318955,0.0007927264,0.0003240653],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8771593,0.000467919,0.1203657,0.00003087453,0.0001920276,0.0004558783,0.00004412952,0.0001736431,0.001110507],"genre_scores_gemma":[0.7233905,0.00002276224,0.2759159,0.00001438695,0.00003815268,0.000009453901,0.00000751554,0.0001018783,0.000499398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4654994,"threshold_uncertainty_score":0.9999799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007087661188215435,"score_gpt":0.1936580791461665,"score_spread":0.1865704179579511,"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."}}