{"id":"W4391557693","doi":"10.1109/mwp58203.2023.10416576","title":"Self-characterization method for integrated optical delay lines","year":2023,"lang":"en","type":"article","venue":"","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Footprint; Beamforming; Computer science; Silicon photonics; Calibration; Electronic engineering; Optical performance monitoring; Photonics; True time delay; Optical switch; Optical cross-connect; Chip; Characterization (materials science); Photonic integrated circuit; Integrated optics; Wavelength-division multiplexing; Optical fiber; Telecommunications; Optoelectronics; Optics; Materials science; Engineering; Phased array; Physics","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":[0.0003225008,0.0005105644,0.0001989176,0.0007618062,0.0003601345,0.0005658524,0.0008225921,0.0004361281,0.00223358],"category_scores_gemma":[0.0008961875,0.0002618106,0.000167461,0.0004170225,0.0003954583,0.0008719417,0.0004433218,0.0005305083,0.0009927512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005401648,"about_ca_system_score_gemma":0.0004791056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000388334,"about_ca_topic_score_gemma":0.0007157067,"domain_scores_codex":[0.999537,0.00005202975,0.00002297696,0.0001321661,0.0002167908,0.00003915754],"domain_scores_gemma":[0.999201,0.0001692477,0.0001354712,0.0001764139,0.0002902373,0.00002759646],"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":[0.0000428296,0.00004518141,0.0006959648,0.00006021899,0.00001033186,0.00005559348,0.00009171377,0.001606187,0.9514796,0.006464422,0.0003904944,0.03905752],"study_design_scores_gemma":[0.000007106708,0.00007781087,0.0005700571,0.000005105733,0.000008898733,0.0001841603,0.00002482089,0.03477148,0.9577038,0.0006881191,0.005941503,0.00001715662],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08833222,0.0002963094,0.9041584,0.0001031559,0.0001064491,0.00009621043,0.0001481281,0.001204893,0.005554282],"genre_scores_gemma":[0.5907057,0.0002187131,0.4020494,0.0001239225,0.00003851074,0.0001711315,0.0002300769,0.000208202,0.006254376],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00223358,"threshold_uncertainty_score":0.007472098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01457265879242797,"score_gpt":0.2716744435445934,"score_spread":0.2571017847521654,"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."}}