{"id":"W1967200062","doi":"10.1049/el:20021053","title":"FBG-based multi-channel low dispersion WDM filters","year":2002,"lang":"en","type":"article","venue":"Electronics Letters","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"TeraXion (Canada); Osteoporosis Canada","funders":"","keywords":"Wavelength-division multiplexing; Channel spacing; Superposition principle; Dispersion (optics); Optical add-drop multiplexer; Channel (broadcasting); Optical filter; Gigabit; Electronic engineering; Computer science; Optics; Crosstalk; Optical performance monitoring; Materials science; Telecommunications; Engineering; Physics; Wavelength","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":[0.00004823698,0.0002638616,0.0001833564,0.0001196255,0.00007537693,0.00002594937,0.0002032607,0.0000877818,0.0001257643],"category_scores_gemma":[0.00001828678,0.0002913652,0.0001078923,0.0002167641,0.00004576565,0.0001328477,0.000013602,0.0003893304,0.0002913212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003616412,"about_ca_system_score_gemma":0.000005503245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002984259,"about_ca_topic_score_gemma":0.000009064844,"domain_scores_codex":[0.9985774,0.00001804356,0.0001932856,0.0002757568,0.0001973892,0.0007381144],"domain_scores_gemma":[0.9994316,0.0000617069,0.00003060324,0.0003535271,0.00001437846,0.0001082106],"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":[0.00000793141,0.00004376205,0.00003035871,0.00003866297,0.00004536099,0.00003105208,0.0002432089,0.9130371,0.07618111,0.00002482312,0.008955506,0.001361112],"study_design_scores_gemma":[0.001049507,0.0000496306,0.00006548548,0.00003442221,0.00001969111,0.000008964314,0.0000204932,0.9513042,0.03815823,0.00001285227,0.00877358,0.0005029702],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7275355,0.002709463,0.2624711,0.00397723,0.0009097742,0.0004672204,0.00001381538,0.001508208,0.0004077822],"genre_scores_gemma":[0.993206,0.0001449278,0.004026867,0.002169991,0.0001070672,0.00002159651,0.00001990435,0.0001207419,0.000182897],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2656705,"threshold_uncertainty_score":0.9999539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009575851141643504,"score_gpt":0.1900509829430521,"score_spread":0.1804751318014086,"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."}}