{"id":"W2095633712","doi":"10.1109/jlt.2011.2145357","title":"Chromatic Dispersion Estimation in Digital Coherent Receivers","year":2011,"lang":"en","type":"article","venue":"Journal of Lightwave Technology","topic":"Optical Network Technologies","field":"Engineering","cited_by":86,"is_retracted":false,"has_abstract":true,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Demodulation; Polarization mode dispersion; Computer science; Electronic engineering; Robustness (evolution); Bandwidth (computing); Signal processing; Optics; Residual; Digital signal processing; Dispersion (optics); Algorithm; Telecommunications; Channel (broadcasting); Physics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008614869,0.0002966897,0.0002977571,0.0007001177,0.0003269674,0.0008547967,0.0004599314,0.0006197554,0.0006600926],"category_scores_gemma":[0.003297717,0.0003367843,0.0001323841,0.0005231999,0.0005098452,0.0008142677,0.0006316981,0.0004047955,0.0002822684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006876191,"about_ca_system_score_gemma":0.0006821335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001718403,"about_ca_topic_score_gemma":0.002671818,"domain_scores_codex":[0.9994329,0.0001721742,0.00002723493,0.00009261904,0.0002366698,0.00003837937],"domain_scores_gemma":[0.9989397,0.0005811407,0.0001099288,0.0001273689,0.0002168236,0.00002501518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001154491,0.0001553509,0.005255808,0.000367446,0.0001027047,0.0001345831,0.0002925374,0.2603953,0.1305315,0.03182856,0.001490513,0.5682911],"study_design_scores_gemma":[0.00005536749,0.0001467633,0.001227492,0.00003221068,0.00003506517,0.0001056149,0.0000275003,0.9151316,0.07394432,0.006960951,0.002301853,0.00003126635],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1094983,0.001708789,0.8858592,0.0001784476,0.00008012669,0.00004690122,0.00005619913,0.0004575506,0.002114614],"genre_scores_gemma":[0.6568195,0.0008324767,0.3384663,0.00006396058,0.00008655129,0.00004931393,0.00009017126,0.0000373092,0.003554345],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001718403,"threshold_uncertainty_score":0.004989028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01044161468312258,"score_gpt":0.1963281295360271,"score_spread":0.1858865148529045,"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."}}