{"id":"W2070423062","doi":"10.1109/lpt.2013.2252426","title":"Electronic Post-Compensation of Dispersion for DML Systems Using SCM and Direct Detection","year":2013,"lang":"en","type":"article","venue":"IEEE Photonics Technology Letters","topic":"Optical Network Technologies","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Subcarrier; Chirp; Computer science; Polarization mode dispersion; Optical modulation amplitude; Transmitter; Subcarrier multiplexing; Phase modulation; Optical power; Physics; Optics; Electronic engineering; Dispersion (optics); Telecommunications; Orthogonal frequency-division multiplexing; Phase noise; Optical amplifier; Engineering; Laser","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":[0.0002261675,0.0003767647,0.0002003976,0.0004669985,0.0003949034,0.0005501877,0.0006241326,0.0003938565,0.001745513],"category_scores_gemma":[0.0007761879,0.0001549627,0.0001186294,0.000437328,0.0003877715,0.0006163453,0.0004026835,0.0005145608,0.0005822246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005170999,"about_ca_system_score_gemma":0.0004756013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005344909,"about_ca_topic_score_gemma":0.002004675,"domain_scores_codex":[0.9997194,0.00003306453,0.00001469042,0.00004714208,0.0001607957,0.00002485623],"domain_scores_gemma":[0.9994909,0.0001559237,0.0001063327,0.0000811154,0.0001483204,0.00001747678],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003269463,0.0001794011,0.002071471,0.0001517958,0.00002505007,0.0001545935,0.0001523365,0.005016503,0.6767354,0.004999279,0.0007468945,0.3094402],"study_design_scores_gemma":[0.00004909699,0.0005776928,0.00290138,0.00002826864,0.00002160164,0.0005266949,0.00004822968,0.1178366,0.8660778,0.001031037,0.01087123,0.00003038184],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3582928,0.0007437264,0.6309457,0.0004495007,0.0001827869,0.0001933662,0.00009979073,0.001947792,0.007144378],"genre_scores_gemma":[0.6293752,0.0002411559,0.3641838,0.0001326983,0.00006631253,0.00006094716,0.0001268975,0.00005327721,0.00575969],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001745513,"threshold_uncertainty_score":0.005839348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005201663373471066,"score_gpt":0.1893837005237815,"score_spread":0.1841820371503104,"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."}}