{"id":"W4297796402","doi":"10.1364/cleo_at.2022.aw5l.5","title":"Photonic Vector Modulator Based on MRR Weight Banks","year":2022,"lang":"en","type":"article","venue":"Conference on Lasers and Electro-Optics","topic":"Advanced Photonic Communication Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Huawei Technologies (Canada); University of British Columbia","funders":"","keywords":"Phase shift module; Resonator; Photonics; Phase modulation; Weighting; Computer science; Microwave; Multiplexing; Wavelength-division multiplexing; Electro-optic modulator; Optical switch; Electronic engineering; Physics; Optics; Optical modulator; Optoelectronics; Wavelength; Telecommunications; Engineering; Phase noise","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":[0.0002122287,0.0002680143,0.0002761395,0.000177471,0.0001833339,0.0004731446,0.0005187297,0.0003228727,0.002319734],"category_scores_gemma":[0.0002587279,0.0001473744,0.00008751919,0.000281635,0.0001763038,0.0005927614,0.0002407558,0.0003156929,0.0005699609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002315115,"about_ca_system_score_gemma":0.000221915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002404305,"about_ca_topic_score_gemma":0.0006554783,"domain_scores_codex":[0.9998554,0.0000303981,0.0000100107,0.00003225912,0.00005590587,0.00001606022],"domain_scores_gemma":[0.9998887,0.00003009881,0.00002884147,0.00001372441,0.00003273402,0.000005937907],"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":[0.000304765,0.0001236496,0.0003059765,0.000157027,0.00002822937,0.0001086233,0.00006238851,0.005850776,0.7916097,0.054088,0.001982401,0.1453784],"study_design_scores_gemma":[0.0001982767,0.001124543,0.0009594701,0.00004978636,0.00006946561,0.0006221957,0.0000361814,0.4156868,0.5209547,0.005854089,0.05438374,0.00006067901],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2613973,0.003198923,0.7054575,0.0008759892,0.0006014601,0.0002189453,0.0002308299,0.001866666,0.02615232],"genre_scores_gemma":[0.7299846,0.001058769,0.2533222,0.0002974428,0.000193945,0.0001299103,0.0001325879,0.00004865445,0.01483183],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002319734,"threshold_uncertainty_score":0.007760227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01376708955831909,"score_gpt":0.2199625581113091,"score_spread":0.20619546855299,"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."}}