{"id":"W2780467372","doi":"10.1109/lpt.2017.2785310","title":"Realization of Multicore Fiber Reconfigurable Optical Add–Drop Multiplexer","year":2017,"lang":"en","type":"article","venue":"IEEE Photonics Technology Letters","topic":"Optical Network Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Multiplexer; Optical add-drop multiplexer; Crosstalk; Optical switch; Multiplexing; Insertion loss; Computer science; Optical fiber; Optical cross-connect; Multi-core processor; Drop (telecommunication); Electronic engineering; Optical performance monitoring; Passive optical network; Wavelength-division multiplexing; Materials science; Optoelectronics; Telecommunications; Engineering; Parallel computing; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001768981,0.0002321525,0.000250068,0.0001824348,0.0003453181,0.0002976581,0.0006303588,0.0003614637,0.00137746],"category_scores_gemma":[0.0001194282,0.0001600875,0.0002041628,0.0001360362,0.0001555175,0.0004690612,0.0003661727,0.0003365019,0.0002477055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003535594,"about_ca_system_score_gemma":0.0002012088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005291511,"about_ca_topic_score_gemma":0.00137285,"domain_scores_codex":[0.9998104,0.0000125304,0.00001229239,0.00005630947,0.00006421636,0.0000442952],"domain_scores_gemma":[0.9998693,0.00002262377,0.00003007596,0.00002670729,0.00002924307,0.00002206833],"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":[0.00009826184,0.0001468065,0.0006328583,0.00006822899,0.00002214144,0.0002169117,0.00006520541,0.001933493,0.9661729,0.002815081,0.0006273467,0.02720079],"study_design_scores_gemma":[0.0000249357,0.0004114558,0.001630282,0.000005152318,0.00001698603,0.0002846711,0.00002369531,0.04036176,0.9492916,0.0003602405,0.007561089,0.00002816151],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9029183,0.0005816857,0.08784739,0.0002270637,0.0001754957,0.0001443063,0.0003734648,0.001260848,0.006471499],"genre_scores_gemma":[0.9070795,0.000122935,0.08972619,0.00006651895,0.00002768695,0.00004197115,0.0001500289,0.00001474163,0.002770499],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00137746,"threshold_uncertainty_score":0.004608095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01197137367523105,"score_gpt":0.2299143802911207,"score_spread":0.2179430066158896,"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."}}