{"id":"W2042617650","doi":"10.1364/oe.21.006733","title":"Ultra-compact, flat-top demultiplexer using anti-reflection contra-directional couplers for CWDM networks on silicon","year":2013,"lang":"en","type":"article","venue":"Optics Express","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":156,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Wavelength-division multiplexing; Demultiplexer; Optics; Free spectral range; Channel spacing; Fiber Bragg grating; Power dividers and directional couplers; Bandwidth (computing); Multiplexing; Optical filter; Optical add-drop multiplexer; Materials science; Wavelength; Optoelectronics; Physics; Optical performance monitoring; Multiplexer; Telecommunications; Computer science","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":[0.0002014047,0.0002494717,0.0002618191,0.0002924415,0.0001632178,0.0003288626,0.0005716038,0.0002437961,0.0009877608],"category_scores_gemma":[0.0002174621,0.0001835977,0.0001702462,0.0001968891,0.0002931752,0.0005308745,0.0002812031,0.0004291774,0.0002748008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003345068,"about_ca_system_score_gemma":0.000203023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004025765,"about_ca_topic_score_gemma":0.001000917,"domain_scores_codex":[0.9998859,0.000009069222,0.000005671143,0.00002732946,0.00005833205,0.00001361685],"domain_scores_gemma":[0.9998178,0.00006269774,0.0000479345,0.00003013315,0.0000250174,0.00001646283],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006889287,0.00003034293,0.0002428888,0.00003417083,0.000004936912,0.0000508354,0.00002109484,0.0007685538,0.9841637,0.0007772758,0.0003102248,0.01352711],"study_design_scores_gemma":[0.00002307926,0.0003142381,0.00260188,0.000003533532,0.00001549955,0.0002798319,0.00001953496,0.01540796,0.9772959,0.0001726278,0.003850333,0.00001557568],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9217729,0.001202184,0.07075226,0.0001934446,0.00007111898,0.00007061602,0.0002435111,0.001080497,0.004613503],"genre_scores_gemma":[0.8722777,0.0004055696,0.1233574,0.00008473171,0.00003658539,0.0000371784,0.0002581458,0.00004660869,0.003496055],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009877608,"threshold_uncertainty_score":0.003304422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02050808503792434,"score_gpt":0.253726499242046,"score_spread":0.2332184142041216,"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."}}