{"id":"W4408325561","doi":"10.1109/globecom52923.2024.10901008","title":"Enabling High Capacity Flexible Optical Backhaul Data Transmission Using PDM-OAM Multiplexing","year":2024,"lang":"en","type":"article","venue":"","topic":"Optical Network Technologies","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Optiwave Systems (Canada); Royal Military College of Canada","funders":"","keywords":"Backhaul (telecommunications); Multiplexing; Computer science; Transmission (telecommunications); Wavelength-division multiplexing; Optical performance monitoring; Electronic engineering; Computer network; Wireless; Optoelectronics; Telecommunications; Materials science; Engineering","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":[0.0002574866,0.0002512712,0.0002458177,0.0001587691,0.00008778925,0.0002192878,0.0005546285,0.0002625787,0.0002481819],"category_scores_gemma":[0.00005731199,0.000216769,0.00005634336,0.0005244861,0.00009756051,0.0005975457,0.0002536272,0.0005756283,0.0001120887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001125642,"about_ca_system_score_gemma":0.0000218123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004285296,"about_ca_topic_score_gemma":0.000006054727,"domain_scores_codex":[0.9984106,0.00001250152,0.0003171876,0.0004801266,0.0002319742,0.0005476427],"domain_scores_gemma":[0.9989313,0.0002185412,0.000007658627,0.0006990422,0.00002030517,0.00012319],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001793596,0.00006893177,0.00007599543,0.001109279,0.0002411387,0.0001637051,0.0001453652,0.4401154,0.1717547,0.08242214,0.004206543,0.2996789],"study_design_scores_gemma":[0.0001151045,0.00001439644,0.000019398,0.0002461119,0.00003115103,0.0000204033,0.00005601143,0.9495912,0.03147086,0.001454594,0.0166861,0.0002946381],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2391709,0.002040834,0.7432522,0.0003577757,0.0007046462,0.0002287435,0.00003167478,0.008699626,0.005513643],"genre_scores_gemma":[0.6176997,0.0001392006,0.3818258,0.00001492137,0.0001621827,0.000002904226,0.00002531003,0.00005653674,0.00007336247],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5094758,"threshold_uncertainty_score":0.8839582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08616346341060716,"score_gpt":0.2786024697729071,"score_spread":0.1924390063622999,"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."}}