{"id":"W3128633993","doi":"10.1364/oe.417272","title":"AI-optimised tuneable sources for bandwidth-scalable, sub-nanosecond wavelength switching","year":2021,"lang":"en","type":"article","venue":"Optics Express","topic":"Optical Network Technologies","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Infineon Technologies (Canada)","funders":"Engineering and Physical Sciences Research Council; Royal Academy of Engineering; Microsoft Research","keywords":"Bandwidth (computing); Nanosecond; Optical switch; Optoelectronics; Wavelength; Optical amplifier; Wideband; Materials science; Optics; Laser; Terahertz radiation; Computer science; Telecommunications; 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":[0.000108724,0.0001586206,0.0001218707,0.0001453738,0.0001230646,0.000343401,0.000360667,0.0002620086,0.001142547],"category_scores_gemma":[0.0002439126,0.0001228796,0.0001006554,0.0001934233,0.0002225642,0.0003945226,0.0002082559,0.0002957777,0.0002527972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003026284,"about_ca_system_score_gemma":0.0001714778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003359072,"about_ca_topic_score_gemma":0.0009215359,"domain_scores_codex":[0.9999416,0.000004703285,0.000002675479,0.00001077264,0.00003293236,0.000007463258],"domain_scores_gemma":[0.9998984,0.00003496886,0.00003170543,0.00001235318,0.00001554564,0.000007056931],"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":[0.0001070735,0.00006296451,0.0004664717,0.00007628471,0.00002030401,0.00005861957,0.0000502198,0.08293751,0.8839441,0.008016407,0.0004115846,0.0238485],"study_design_scores_gemma":[0.00003589321,0.0002091987,0.0004906635,0.000008513522,0.00001846972,0.0000913152,0.00002220606,0.7154152,0.2756668,0.003318688,0.004699626,0.0000234334],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6854623,0.001003169,0.2960634,0.0003190746,0.0001125139,0.00005819672,0.0001416816,0.001003347,0.01583629],"genre_scores_gemma":[0.9493519,0.0001581101,0.04816453,0.00002391576,0.000009717653,0.00003109536,0.00002977347,0.00003631621,0.002194661],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001142547,"threshold_uncertainty_score":0.003822267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01070330901504082,"score_gpt":0.2132091867636041,"score_spread":0.2025058777485632,"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."}}