{"id":"W4246904683","doi":"10.1142/9789812774347_0005","title":"Equalizer Architectures for 40-Gb/s Optical Systems Limited by Polarization-Mode Dispersion","year":2006,"lang":"en","type":"book-chapter","venue":"Selected topics in electornics and systems","topic":"Optical Network Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Polarization mode dispersion; Equalizer; Mode (computer interface); Computer science; Polarization (electrochemistry); Dispersion (optics); Optics; Physics; Materials science; Electronic engineering; Telecommunications; Engineering; Chemistry; Channel (broadcasting)","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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0001453984,0.0005556192,0.0007993528,0.0003254118,0.00009273674,0.0001790015,0.0002764196,0.001296821,0.000003888579],"category_scores_gemma":[0.00009849118,0.0005370731,0.0000939285,0.0002085009,0.0000811276,0.00002706114,0.00005365585,0.0008684777,0.000003662114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002353727,"about_ca_system_score_gemma":0.00004389031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006305451,"about_ca_topic_score_gemma":0.00007124794,"domain_scores_codex":[0.9977542,0.00002548187,0.0007600939,0.0005208338,0.0003138652,0.0006255389],"domain_scores_gemma":[0.9989666,0.0002547326,0.000117307,0.0003839582,0.0001787124,0.00009870638],"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":[0.0001129595,0.00009914965,0.001322022,0.003883929,0.0006917361,0.00003269657,0.0001034611,0.1469707,0.003596123,0.7835232,0.05457726,0.005086767],"study_design_scores_gemma":[0.000731731,0.000262249,0.0001027166,0.0008211022,0.0001175759,0.00002971023,0.0000120839,0.8270958,0.0001171194,0.004128956,0.1652916,0.001289317],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1823652,0.2795045,0.1543278,0.0007066167,0.01365603,0.02057549,0.003448622,0.01111161,0.3343042],"genre_scores_gemma":[0.9101266,0.001421567,0.001189062,0.0000286291,0.001443009,0.0002793545,0.001777238,0.0005387331,0.08319578],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7793943,"threshold_uncertainty_score":0.9999997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009403769765105922,"score_gpt":0.2144615514170479,"score_spread":0.205057781651942,"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."}}