{"id":"W4324327709","doi":"10.1117/12.2647952","title":"Ultrahigh bandwidth applications of optical microcombs","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Fiber Laser Technologies","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Computer science; Bandwidth (computing); Signal processing; Image processing; Bottleneck; Artificial intelligence; Convolutional neural network; Pixel; Computer hardware; Digital signal processing; Telecommunications; Embedded system","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":[0.0001500572,0.0002099884,0.0001319629,0.00027499,0.0002643865,0.0003227515,0.000387798,0.0002593928,0.003704376],"category_scores_gemma":[0.0002985824,0.0001082452,0.00009950281,0.0002289009,0.0003418652,0.0006584467,0.0004433359,0.000389837,0.0006144725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003286463,"about_ca_system_score_gemma":0.0001369944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004272859,"about_ca_topic_score_gemma":0.0005641507,"domain_scores_codex":[0.9998672,0.000009690114,0.000003937176,0.00002239203,0.00006630099,0.00003043878],"domain_scores_gemma":[0.9998299,0.00005658112,0.00003407197,0.00002199734,0.00003743266,0.00001999327],"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":[0.0002569979,0.00009560782,0.002002528,0.0001834691,0.00001741659,0.0002724471,0.0002260062,0.001774962,0.9077505,0.02008004,0.003065973,0.06427406],"study_design_scores_gemma":[0.00002645829,0.000396317,0.003025536,0.00003381825,0.00001899742,0.0008270944,0.00007328562,0.0425962,0.8918041,0.004362066,0.05680193,0.0000342177],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8604357,0.006228277,0.08065763,0.001741377,0.0003843014,0.00007604085,0.0002449643,0.002207721,0.04802393],"genre_scores_gemma":[0.9815825,0.0006770102,0.01308477,0.0001111813,0.00004792207,0.00002036981,0.00007466032,0.00004457721,0.004356913],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003704376,"threshold_uncertainty_score":0.01239234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007461545469780529,"score_gpt":0.2543649631609969,"score_spread":0.2469034176912163,"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."}}