{"id":"W3006394313","doi":"10.1364/oe.385747","title":"Multimodal plasmonic optical fiber grating aptasensor","year":2020,"lang":"en","type":"article","venue":"Optics Express","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Fonds De La Recherche Scientifique - FNRS","keywords":"Refractometry; Multi-mode optical fiber; Fiber Bragg grating; Biosensor; Optical fiber; Optics; Materials science; Multiplexing; Fiber optic sensor; Single-mode optical fiber; Plasmon; Optoelectronics; Nanotechnology; Refractive index; Computer science; Telecommunications; Physics","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":[0.0001967493,0.0004628627,0.0002308908,0.00015923,0.0001057322,0.0002567473,0.0003145216,0.0003778385,0.0008702302],"category_scores_gemma":[0.0001281797,0.0001564477,0.0001611025,0.0001379142,0.0001699192,0.0003137777,0.0002165823,0.0002440198,0.0004538819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004675642,"about_ca_system_score_gemma":0.0001483098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008771986,"about_ca_topic_score_gemma":0.001735456,"domain_scores_codex":[0.9998153,0.0000177076,0.000008786654,0.00007137197,0.00005534229,0.00003147973],"domain_scores_gemma":[0.9999228,0.00001400291,0.0000231279,0.000007684631,0.00001951439,0.00001284747],"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":[0.00002380965,0.000009672664,0.0001229938,0.00001879549,0.000003410935,0.00002202453,0.00001134573,0.0002757701,0.9977069,0.0001027118,0.00004988716,0.001652698],"study_design_scores_gemma":[0.000004208195,0.00007951687,0.0004363095,0.000001930922,0.000006237522,0.00007711539,0.00001185609,0.007140141,0.9910789,0.00005059579,0.00110662,0.000006435356],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9405046,0.001544748,0.052889,0.0001481783,0.00007138908,0.00006804358,0.0003113978,0.0006808977,0.003781676],"genre_scores_gemma":[0.9500258,0.0007857619,0.04400663,0.00009773693,0.00001492005,0.00005371147,0.0001549095,0.00002739259,0.004833157],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008771986,"threshold_uncertainty_score":0.003392458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01701671514101651,"score_gpt":0.2299848847446172,"score_spread":0.2129681696036007,"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."}}