{"id":"W4399572692","doi":"10.1021/acssensors.4c00229","title":"Dual-Mode Comb Plasmonic Optical Fiber Sensing","year":2024,"lang":"en","type":"article","venue":"ACS Sensors","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Fonds De La Recherche Scientifique - FNRS; European Commission; Natural Sciences and Engineering Research Council of Canada; Ministerio de Ciencia e Innovación; Agencia Estatal de Investigación; Canada Research Chairs","keywords":"Materials science; Fiber Bragg grating; Plasmon; Narrowband; Optics; Optoelectronics; Polarization (electrochemistry); Fabrication; Bandwidth (computing); Optical fiber; Refractive index; Surface plasmon; Optical power; Wavelength; Physics; Telecommunications; Laser; Computer science; Chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002372414,0.0003141386,0.0002200191,0.0003434211,0.0001517968,0.000271524,0.0005191084,0.0003714556,0.0005354104],"category_scores_gemma":[0.0003938484,0.000184759,0.0001221921,0.0001814228,0.0002537429,0.0003873323,0.0004756761,0.0002783997,0.0003156809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002300906,"about_ca_system_score_gemma":0.0001195287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000248447,"about_ca_topic_score_gemma":0.0005968306,"domain_scores_codex":[0.999708,0.00003211731,0.00001090116,0.00009608734,0.000122955,0.00002993043],"domain_scores_gemma":[0.9997724,0.00003970289,0.00007077948,0.00002866404,0.00006692434,0.00002146809],"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":[0.00005030218,0.0000206842,0.0003075021,0.00003061661,0.000003396769,0.00002212964,0.00002021156,0.0002139698,0.9914649,0.000378133,0.0001044309,0.007383637],"study_design_scores_gemma":[0.0000117267,0.0001062032,0.0009369966,0.000002986367,0.000005043367,0.0001535542,0.00001559972,0.01610525,0.980878,0.00025712,0.001513744,0.00001387354],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8990177,0.0009033185,0.09436091,0.0001415459,0.00008705022,0.00006069537,0.0003675869,0.0003994077,0.004661876],"genre_scores_gemma":[0.905274,0.0002721376,0.09204099,0.00005703787,0.00003438516,0.00004924602,0.0001548334,0.00002644677,0.002090887],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005354104,"threshold_uncertainty_score":0.00179106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01047167067949779,"score_gpt":0.2445038602276698,"score_spread":0.234032189548172,"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."}}