{"id":"W2884620680","doi":"10.1109/lpt.2018.2856767","title":"Frequency Comb Generation Using a CMOS Compatible SiP DD-MZM for Flexible Networks","year":2018,"lang":"en","type":"article","venue":"IEEE Photonics Technology Letters","topic":"Advanced Fiber Laser Technologies","field":"Physics and Astronomy","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; CMC Microsystems","keywords":"Wavelength-division multiplexing; Channel spacing; Quadrature amplitude modulation; Frequency comb; Transmitter; Electronic engineering; Optical performance monitoring; Computer science; Optoelectronics; Bit error rate; Materials science; Physics; Optics; Telecommunications; Channel (broadcasting); Engineering; Wavelength","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001517258,0.000250057,0.0001344319,0.0002265127,0.0002318263,0.0002799861,0.0003049297,0.0002491852,0.002075444],"category_scores_gemma":[0.0002252367,0.0001431358,0.0001198784,0.0001412561,0.0002259455,0.0003487246,0.0002443628,0.0002663504,0.0006355931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003229072,"about_ca_system_score_gemma":0.0003028533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002290243,"about_ca_topic_score_gemma":0.0007891008,"domain_scores_codex":[0.9998995,0.000009119249,0.000005036272,0.00002156544,0.00005094679,0.00001389003],"domain_scores_gemma":[0.9999117,0.0000168701,0.00002223856,0.00001814477,0.00002199327,0.00000894702],"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":[0.00004677903,0.00003291256,0.0004003347,0.00009902289,0.000005911656,0.0001196322,0.00003904619,0.0005561087,0.9789904,0.003183979,0.0006846078,0.01584118],"study_design_scores_gemma":[0.00003390821,0.0003059818,0.001221337,0.00001578677,0.00001715959,0.0005712922,0.00002727677,0.01407051,0.9574634,0.0007644005,0.02549181,0.00001723072],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6887695,0.001696015,0.2710796,0.0008383809,0.0005437501,0.0003393195,0.0008481478,0.001975376,0.03390988],"genre_scores_gemma":[0.812069,0.0005227919,0.1793901,0.0002023692,0.00007687524,0.0001306456,0.0002404431,0.00007028152,0.007297521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002075444,"threshold_uncertainty_score":0.006943047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03202602568599879,"score_gpt":0.2946898017070158,"score_spread":0.262663776021017,"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."}}