{"id":"W4386123570","doi":"10.1109/pn58661.2023.10222971","title":"Waveguide Taper Profile Optimization for Compact On-chip Adiabatic Devices","year":2023,"lang":"en","type":"article","venue":"","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Adiabatic process; Bandwidth (computing); Converters; Chip; Waveguide; Optics; Materials science; Ranging; Optical fiber; Optoelectronics; Power (physics); Reduction (mathematics); Electronic engineering; Physics; Computer science; Telecommunications; 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":[0.0002525857,0.0005513185,0.0003059165,0.0002652189,0.0002993822,0.0005586785,0.0006044625,0.0003016174,0.001136503],"category_scores_gemma":[0.0003145768,0.0002931578,0.0003002217,0.0003262379,0.0003603224,0.000603878,0.0004598128,0.0007419625,0.0005722119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006977125,"about_ca_system_score_gemma":0.00035247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004858857,"about_ca_topic_score_gemma":0.001220796,"domain_scores_codex":[0.9998271,0.00001459235,0.000007273163,0.00002395446,0.0001030462,0.00002398015],"domain_scores_gemma":[0.9999104,0.00001819869,0.00002236623,0.00001854187,0.00002296609,0.000007453238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007480932,0.00009628553,0.0004330455,0.0003698186,0.00005187849,0.0001487497,0.0001010518,0.0659238,0.7945737,0.0246468,0.001376418,0.1122037],"study_design_scores_gemma":[0.00003300149,0.0003854927,0.0009683601,0.00007088063,0.00004300751,0.0003647042,0.000050512,0.259273,0.6971189,0.005487289,0.03614298,0.0000617629],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1247228,0.008276317,0.8454832,0.0003136606,0.0001764206,0.0001232975,0.0001786987,0.001194013,0.01953149],"genre_scores_gemma":[0.6370492,0.006693347,0.3476428,0.0001500869,0.0001018997,0.0001781468,0.0002302944,0.0003675843,0.007586516],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001136503,"threshold_uncertainty_score":0.005062342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02137490378684473,"score_gpt":0.2529969018020023,"score_spread":0.2316219980151576,"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."}}