{"id":"W3152819350","doi":"10.1117/12.2588733","title":"Microcombs for ultrahigh bandwidth optical data transmission and neural networks","year":2021,"lang":"en","type":"article","venue":"","topic":"Advanced Fiber Laser Technologies","field":"Physics and Astronomy","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Computer science; Convolutional neural network; Bandwidth (computing); Bottleneck; Data transmission; Transmission (telecommunications); Artificial neural network; Deep learning; Artificial intelligence; Optical fiber; Computer hardware; Electronic engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003243902,0.0001010884,0.000129113,0.00001068112,0.0000765272,0.00004016848,0.0001806155,0.00004469145,0.0001091707],"category_scores_gemma":[0.000003046325,0.00008296177,0.00002953034,0.00006133636,0.00005108373,0.000152333,0.0001282065,0.0001188438,6.869082e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002166739,"about_ca_system_score_gemma":0.00001181308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004295722,"about_ca_topic_score_gemma":0.000001260972,"domain_scores_codex":[0.9993308,0.000006400833,0.0001130614,0.0003134316,0.00003958502,0.0001966899],"domain_scores_gemma":[0.9994525,0.0001040487,0.00001822065,0.0003504024,0.00002594525,0.00004893677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004193111,0.0001299391,0.003928832,0.00002267303,0.00006482479,0.000005360068,0.00002821846,0.0006745419,0.0104758,0.04626939,0.005274975,0.9330835],"study_design_scores_gemma":[0.004355051,0.0001993606,0.001702933,0.00006666506,0.0001912446,0.00002181609,0.001417869,0.493124,0.2884586,0.04852735,0.1608326,0.001102548],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01862597,0.0002321793,0.9786805,0.001104958,0.00003781218,0.0001442635,0.00005680109,0.00008587774,0.001031621],"genre_scores_gemma":[0.8801774,0.00001349821,0.118733,0.0000781036,0.0000971117,0.00001394161,0.0003464987,0.00001437243,0.0005259736],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.931981,"threshold_uncertainty_score":0.3383083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01992577670711424,"score_gpt":0.2725916861196029,"score_spread":0.2526659094124886,"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."}}