{"id":"W4406921157","doi":"10.1109/jlt.2025.3535548","title":"Receiver Laser Phase Noise Estimation With Application to EEPN Control","year":2025,"lang":"en","type":"article","venue":"Journal of Lightwave Technology","topic":"Advanced Fiber Laser Technologies","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Huawei Technologies (Canada); University of Alberta","funders":"","keywords":"Phase noise; Phase control; Laser; Noise (video); Phase (matter); Electronic engineering; Acoustics; Computer science; Optics; Engineering; Physics; Artificial intelligence","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":[0.0009247969,0.000557622,0.000361595,0.0004278145,0.000279055,0.0006199967,0.0006484682,0.0005053354,0.0007827183],"category_scores_gemma":[0.003076532,0.0002617907,0.0001884706,0.0004338856,0.0003524662,0.0007049284,0.0006414732,0.0006424641,0.0002253968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004104993,"about_ca_system_score_gemma":0.0005310127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001606533,"about_ca_topic_score_gemma":0.001726631,"domain_scores_codex":[0.9992655,0.0001535042,0.00003501595,0.000151821,0.0003573493,0.00003675268],"domain_scores_gemma":[0.9991204,0.0004210398,0.0001251559,0.00008869815,0.0002287358,0.00001596239],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006899939,0.0001878327,0.002147477,0.0001746666,0.00005850819,0.0001537741,0.0002113063,0.3024266,0.1763053,0.01018778,0.0006185313,0.5068381],"study_design_scores_gemma":[0.00001677446,0.00006413833,0.0003841443,0.000008038502,0.00001411568,0.00006396533,0.000006282323,0.9485552,0.04900113,0.0009453004,0.0009248647,0.00001598007],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01744782,0.0001182388,0.9810917,0.00005925218,0.00002190548,0.0000210527,0.00001222675,0.000335393,0.0008923451],"genre_scores_gemma":[0.6141877,0.0001991967,0.3832693,0.00006065154,0.00004377169,0.00004894919,0.00005407351,0.00008597604,0.002050289],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001606533,"threshold_uncertainty_score":0.004890859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002787885158923092,"score_gpt":0.2659145599012492,"score_spread":0.2631266747423261,"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."}}