{"id":"W4390331397","doi":"10.1109/mcom.2023.10375690","title":"Optical Communications and Networks","year":2023,"lang":"en","type":"article","venue":"IEEE Communications Magazine","topic":"Optical Network Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Computer network; Optical Transport Network; Telecommunications; Optical communication; Optical performance monitoring; Clos network; 10G-PON; Key (lock); Optical wireless; Multiwavelength optical networking; Optical cross-connect; Passive optical network; Optical networking; Wireless; Electronic engineering; Optical fiber; Wavelength-division multiplexing; Computer security; Optoelectronics; Fiber optic splitter; Engineering; Materials science","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":[0.0002098527,0.0001447206,0.0001722621,0.0001514197,0.0002249965,0.00005946565,0.00158153,0.0001386855,0.000009088993],"category_scores_gemma":[0.00006556732,0.0001546517,0.00003616034,0.0009345976,0.0006312679,0.0001180679,0.0009021676,0.000505536,0.00053855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003506653,"about_ca_system_score_gemma":0.000006758499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001475779,"about_ca_topic_score_gemma":0.00004715979,"domain_scores_codex":[0.9991828,0.00004047905,0.0002607775,0.0001288296,0.00008543944,0.0003017292],"domain_scores_gemma":[0.9955851,0.0005966566,0.00002031325,0.00366587,0.0000501423,0.00008188113],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000009547365,0.0002449936,0.00249717,0.0001011788,0.0002824283,0.00001112235,0.0002976902,0.04613052,0.004299704,0.3836381,0.2042995,0.3581881],"study_design_scores_gemma":[0.0001449213,0.00002015349,0.002893857,0.00002615699,0.00002081183,0.000008787593,0.00004234258,0.8864655,0.00003025347,0.001975613,0.1081801,0.0001914648],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1960047,0.05798831,0.08677021,0.0868105,0.003077582,0.003142555,0.0001338162,0.05970152,0.5063708],"genre_scores_gemma":[0.9211633,0.02873399,0.04948116,0.00006576943,0.00004739089,0.0001379697,0.00007391909,0.00004771366,0.0002487653],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.840335,"threshold_uncertainty_score":0.6922151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0355071113124928,"score_gpt":0.2739647059646391,"score_spread":0.2384575946521463,"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."}}