{"id":"W2898612544","doi":"10.1109/lpt.2018.2877994","title":"Integrated Optical Add-Drop Multiplexer in SOI Based on Mode Selection and Bragg Reflection","year":2018,"lang":"en","type":"article","venue":"IEEE Photonics Technology Letters","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Multiplexer; Silicon on insulator; Extinction ratio; Crosstalk; Optics; Materials science; Optical add-drop multiplexer; Multiplexing; Drop (telecommunication); Bandwidth (computing); Interferometry; Optoelectronics; Wavelength-division multiplexing; Physics; Silicon; Electronic engineering; Optical performance monitoring; Computer science; Telecommunications; Wavelength; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000115759,0.0002236569,0.0002285964,0.0005415149,0.00007154102,0.0000256147,0.0001503319,0.0003885449,0.00002222284],"category_scores_gemma":[0.00004090761,0.0002211795,0.00003381475,0.0007206129,0.0002383421,0.00009348019,0.00001709815,0.0006875554,0.0000423596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002408777,"about_ca_system_score_gemma":0.00002262684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004365082,"about_ca_topic_score_gemma":0.0005408645,"domain_scores_codex":[0.9988436,0.00001877563,0.0002554121,0.0003498941,0.0001180945,0.0004142888],"domain_scores_gemma":[0.9995977,0.00005947764,0.000028495,0.0002189413,0.00003725025,0.00005814723],"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":[0.00009876949,0.00006382096,0.0006159104,0.00002818437,0.00002954739,0.00001821939,0.00005148213,0.01497207,0.9797504,0.0005918466,0.0003993835,0.00338037],"study_design_scores_gemma":[0.0004419612,0.0001167389,0.0002180194,0.00003683401,0.000008967277,0.00001232408,0.00001189843,0.6681523,0.3294843,0.0001617533,0.00118594,0.0001690605],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9861968,0.00002535078,0.01032925,0.0008999073,0.0003023783,0.0002269864,0.000005186855,0.0008330054,0.001181171],"genre_scores_gemma":[0.9913532,0.0000219356,0.007538623,0.000941819,0.00002836939,0.00006383654,0.000004941121,0.00003982746,0.00000749572],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6531802,"threshold_uncertainty_score":0.9019438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008230146233497661,"score_gpt":0.2382688631730685,"score_spread":0.2300387169395708,"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."}}