{"id":"W3212965958","doi":"10.1109/ipc48725.2021.9592970","title":"Optimization of Adiabatically Tapered Y-Branches for Dual Polarization Operation","year":2021,"lang":"en","type":"article","venue":"","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Fabrication; Polarization (electrochemistry); Particle swarm optimization; Broadband; Materials science; Optoelectronics; Optics; Computer science; Sensitivity (control systems); Physics; Electronic engineering; Algorithm; Engineering; Chemistry","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":[0.0001423523,0.0004370867,0.000254223,0.0002781269,0.0003204443,0.0006482537,0.0002927107,0.0003271589,0.001478408],"category_scores_gemma":[0.0003188438,0.0002467489,0.0002046308,0.0004067766,0.0003004571,0.0003871427,0.0003245089,0.0003404109,0.0004169231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006166803,"about_ca_system_score_gemma":0.0005973852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008510737,"about_ca_topic_score_gemma":0.002134652,"domain_scores_codex":[0.999944,0.000006226993,0.000002152443,0.00001109677,0.00002054382,0.00001606376],"domain_scores_gemma":[0.9998699,0.00003073227,0.00004566792,0.00001016646,0.00002810612,0.0000154137],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004177502,0.0002170812,0.003065131,0.0002113349,0.00005439303,0.0002239042,0.0001483938,0.5367983,0.404174,0.01195019,0.001032902,0.04170666],"study_design_scores_gemma":[0.00005526918,0.0002409996,0.001004513,0.00001886776,0.00001812202,0.00004918298,0.00006694513,0.9279729,0.06756429,0.001310575,0.001680005,0.00001834045],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8624645,0.000537493,0.1171272,0.000192754,0.00003519915,0.00008121412,0.000147948,0.0002553889,0.01915818],"genre_scores_gemma":[0.9688647,0.0002378782,0.02915181,0.00001789265,0.000004639236,0.00004927914,0.00007297864,0.00004496933,0.001555796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001478408,"threshold_uncertainty_score":0.004945755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00895424809391624,"score_gpt":0.2091607687659046,"score_spread":0.2002065206719883,"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."}}