{"id":"W2755426386","doi":"10.1038/s41598-017-12455-8","title":"High-performance silicon photonic tri-state switch based on balanced nested Mach-Zehnder interferometer","year":2017,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Huawei Technologies (Canada); University of British Columbia; University of British Columbia Hospital","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Optical switch; Photonics; Mach–Zehnder interferometer; Crosstalk; Astronomical interferometer; Interferometry; Silicon photonics; Crossover switch; Optoelectronics; Blocking (statistics); Silicon on insulator; Materials science; Computer science; Silicon; Optics; Physics; Computer network","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":[0.000185201,0.0002442631,0.0002429336,0.0002668984,0.0002467943,0.000434157,0.0004573892,0.0003250433,0.0008226337],"category_scores_gemma":[0.0001026829,0.0001451356,0.0002354557,0.0002373049,0.0002611998,0.0005530793,0.0003481116,0.0002591923,0.0001985258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003612472,"about_ca_system_score_gemma":0.0003218389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004497146,"about_ca_topic_score_gemma":0.0008193513,"domain_scores_codex":[0.9998166,0.00001955156,0.000008607386,0.00004116663,0.00007929031,0.00003491152],"domain_scores_gemma":[0.9999071,0.00001647894,0.0000257456,0.00001384033,0.00002180282,0.00001499565],"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":[0.00009506923,0.00007785809,0.0009061348,0.00004979663,0.00001838807,0.00007546753,0.00003422691,0.001799702,0.9892314,0.001970067,0.0002504454,0.005491404],"study_design_scores_gemma":[0.00008289384,0.0007592358,0.004257547,0.00000958578,0.00004524801,0.0004674963,0.00003998023,0.1443811,0.8459137,0.0005533331,0.00344211,0.0000477105],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9611068,0.0002243929,0.03339278,0.00009796591,0.00005749669,0.00002726271,0.00007524039,0.0004396305,0.004578369],"genre_scores_gemma":[0.9823172,0.00008695994,0.01684944,0.00002769677,0.00001576297,0.00001730225,0.00007227239,0.00001066911,0.0006026282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008226337,"threshold_uncertainty_score":0.002752006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01304831369979603,"score_gpt":0.2296611362070437,"score_spread":0.2166128225072476,"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."}}