{"id":"W4396892907","doi":"10.1364/ofc.2024.m2g.2","title":"Mode-Selective Reconfigurable Optical Add-Drop Multiplexers Experimentally Validated with 40 Gbps NRZ/PAM4","year":2024,"lang":"en","type":"article","venue":"","topic":"Optical Network Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Multiplexer; Optical add-drop multiplexer; Computer science; Drop (telecommunication); Mode (computer interface); Optoelectronics; Multiplexing; Electronic engineering; Optical performance monitoring; Wavelength-division multiplexing; Materials science; Telecommunications; Engineering; 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":[],"consensus_categories":[],"category_scores_codex":[0.00006877441,0.0003082511,0.0002702365,0.0001370698,0.00005342396,0.0001642655,0.0002390755,0.0002173659,0.0005721649],"category_scores_gemma":[0.00002866909,0.0002423647,0.00006529049,0.0005470871,0.000142447,0.0002756103,0.00004146158,0.0004549809,0.0003996851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002177041,"about_ca_system_score_gemma":0.00003057579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002361178,"about_ca_topic_score_gemma":0.00002899796,"domain_scores_codex":[0.9985569,0.00001222372,0.0002396933,0.0004133021,0.0002101113,0.0005677702],"domain_scores_gemma":[0.9994034,0.0001105852,0.000009247597,0.0003031526,0.00005525334,0.0001183782],"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":[0.0004230191,0.000300796,0.000126142,0.0004093461,0.00187511,0.0006492981,0.001125103,0.280802,0.4268732,0.09984335,0.1328768,0.05469581],"study_design_scores_gemma":[0.0003232901,0.0002043,0.00002720372,0.0001122,0.00003572904,0.00003506455,0.0004765663,0.6089732,0.3841473,0.0004754017,0.004711713,0.0004780781],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3885146,0.001869973,0.0566242,0.0007876322,0.0009378573,0.001201686,0.00003590846,0.0227928,0.5272353],"genre_scores_gemma":[0.9454161,0.00005262458,0.05263831,0.00004429424,0.0000528662,0.00009882504,0.00001849023,0.0001003364,0.001578177],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5569015,"threshold_uncertainty_score":0.9883347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008985267635780416,"score_gpt":0.2272445977164466,"score_spread":0.2182593300806662,"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."}}