{"id":"W2023816754","doi":"10.1364/ol.40.000115","title":"Concatenation of surface plasmon resonance sensors in a single optical fiber using tilted fiber Bragg gratings","year":2014,"lang":"en","type":"article","venue":"Optics Letters","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Optics; Fiber Bragg grating; Materials science; Surface plasmon resonance; PHOSFOS; Fiber optic sensor; Optical fiber; Photonic-crystal fiber; Polarization-maintaining optical fiber; Surface plasmon; Long-period fiber grating; Fiber; Optoelectronics; Plasmon; Physics; Nanotechnology; Nanoparticle","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":[0.0001783541,0.0002396546,0.0003236583,0.0001151849,0.00003150625,0.00002582605,0.0001317296,0.0001395619,0.00003058675],"category_scores_gemma":[0.0001708604,0.0002710108,0.00005734115,0.0003322643,0.0001195119,0.0001828033,0.00003188408,0.0002694267,0.00004073048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001779743,"about_ca_system_score_gemma":0.000008474603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001650532,"about_ca_topic_score_gemma":0.000006601085,"domain_scores_codex":[0.9985508,0.00004199908,0.0004631514,0.0002691907,0.000267364,0.0004074586],"domain_scores_gemma":[0.9991964,0.0003010877,0.00007986349,0.0002872882,0.00006198005,0.00007343457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001113385,0.00001641736,0.0001240524,0.00003562429,0.000009672562,0.000008023068,0.0002266172,0.6889656,0.3098667,0.0000898116,0.00007528771,0.0005710418],"study_design_scores_gemma":[0.0007262759,0.00003908441,0.0005787854,0.0001490708,0.00002128305,0.00001719436,0.00004937859,0.8431941,0.1539683,0.00002785454,0.0008556133,0.0003730762],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933426,0.00003132658,0.00446244,0.0002186845,0.0001483525,0.0001725879,0.000006037932,0.0001246495,0.001493275],"genre_scores_gemma":[0.8360787,0.000005208426,0.1634972,0.0001268443,0.00004657142,0.000002642953,0.000009396768,0.00008195489,0.000151508],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1590347,"threshold_uncertainty_score":0.9999742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01321506591311009,"score_gpt":0.2160698211590727,"score_spread":0.2028547552459626,"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."}}