{"id":"W4405938655","doi":"10.1109/acp/ipoc63121.2024.10810103","title":"Location-Resolved gOSNR Estimation of Multi-Span Optical Transmission Systems","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Photonic Communication Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Span (engineering); Computer science; Estimation; Transmission (telecommunications); Optical performance monitoring; Transmission system; Wavelength-division multiplexing; Telecommunications; Optoelectronics; Materials science; Engineering; Systems engineering; Structural 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":[0.0001551047,0.0001047125,0.0001522684,0.00008899974,0.00002358199,0.00003376513,0.0001547573,0.00007012142,0.00004069778],"category_scores_gemma":[0.00001668337,0.00009407961,0.00003931143,0.0002800157,0.00002414048,0.0001549517,0.00001345698,0.0001151786,0.00007562717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007903469,"about_ca_system_score_gemma":0.00002670034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003293313,"about_ca_topic_score_gemma":0.000004694899,"domain_scores_codex":[0.9992174,0.0000231083,0.0003795111,0.0001192856,0.0001487498,0.0001119327],"domain_scores_gemma":[0.99936,0.0001401162,0.0000174287,0.000368648,0.00005438334,0.00005942257],"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":[0.000001906221,0.00001451388,0.000004603533,0.0007996815,0.0000254921,6.231796e-7,0.0003737552,0.9580538,0.01087053,0.006719676,0.0001205691,0.02301486],"study_design_scores_gemma":[0.0001241784,0.000008446732,0.00005661621,0.000408766,0.00001027456,0.000006437824,0.0001134975,0.9847606,0.006692621,0.00002591815,0.007693782,0.0000988498],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003118203,0.006206448,0.9864058,0.00004069315,0.0003039053,0.0002836092,0.000002558622,0.0006620243,0.002976686],"genre_scores_gemma":[0.9726847,0.00008090269,0.02651273,0.000001946272,0.00001632596,0.00005215982,0.00001461562,0.00003026671,0.0006063511],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9695665,"threshold_uncertainty_score":0.3836455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02442213031415366,"score_gpt":0.2840863060957058,"score_spread":0.2596641757815522,"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."}}