{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00003908146,0.0002678599,0.0002656977,0.00003408899,0.00006275938,0.00005582484,0.0002266341,0.0001404787,0.0001620894],"category_scores_gemma":[0.0001537847,0.0002874643,0.00008251559,0.0001494453,0.00006421124,0.0001591836,0.00007610075,0.0003875829,0.000437177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004282224,"about_ca_system_score_gemma":0.000009900524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001094705,"about_ca_topic_score_gemma":4.049704e-7,"domain_scores_codex":[0.9986637,0.00001351279,0.0003086441,0.0003063004,0.0002442625,0.0004635676],"domain_scores_gemma":[0.9991551,0.0001806423,0.00003069526,0.0002916993,0.00004324938,0.0002985966],"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":[0.00002620116,0.00002675254,0.00003240289,0.0001020733,0.00006940363,0.0001087442,0.0009907293,0.899923,0.09254874,0.001246941,0.001339403,0.0035856],"study_design_scores_gemma":[0.0006508275,0.00005232665,0.00003965287,0.00003115537,0.00003090387,0.00001705403,0.0002193049,0.8837703,0.1067944,0.00005643572,0.007844717,0.0004928717],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9116901,0.0002436539,0.05089466,0.0004602227,0.0005575912,0.0004817411,0.0001109786,0.001734881,0.03382622],"genre_scores_gemma":[0.7540436,0.00002247608,0.2450948,0.0001345899,0.0002833796,0.0000215077,0.00001905647,0.0001225618,0.0002579379],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1942002,"threshold_uncertainty_score":0.9999577,"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."}}