{"id":"W4385365074","doi":"10.1364/cleo_si.2023.sm1p.1","title":"Advanced Applications of Optical Kerr Micro-combs","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Fiber Laser Technologies","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Tera-; Computer science; Kerr effect; Signal processing; Optical performance monitoring; Optics; Physics; Electronic engineering; Computer hardware; Digital signal processing; Engineering; Operating system; Wavelength-division multiplexing","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":[0.0003401876,0.0003484891,0.0002698607,0.0006534791,0.000332002,0.0005572718,0.0004273248,0.0005820611,0.002328815],"category_scores_gemma":[0.0003040211,0.0001750811,0.0002599224,0.0004324218,0.0005130493,0.0009859594,0.0005914143,0.0006107594,0.0008476761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003880524,"about_ca_system_score_gemma":0.000199193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002067165,"about_ca_topic_score_gemma":0.0002885633,"domain_scores_codex":[0.9997806,0.00001846063,0.000008204819,0.0000373617,0.0001227224,0.00003256329],"domain_scores_gemma":[0.9998574,0.00004659249,0.0000210686,0.00001357756,0.00004541251,0.0000159322],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001399371,0.0001737761,0.001220678,0.001540333,0.00003578351,0.0007900573,0.0004192085,0.003505554,0.4146082,0.1426358,0.006804351,0.4281265],"study_design_scores_gemma":[0.00002270416,0.0004928708,0.001945944,0.0003116867,0.00003379699,0.004413271,0.0001765866,0.01953526,0.3401164,0.03119947,0.6016623,0.0000896226],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1382015,0.5319214,0.1568017,0.005241731,0.002697758,0.0002238488,0.0001825395,0.0009539403,0.1637755],"genre_scores_gemma":[0.6389055,0.2170629,0.09960579,0.001523024,0.003519698,0.0001194492,0.0001502963,0.0001247537,0.03898865],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002328815,"threshold_uncertainty_score":0.007790685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007910592197793071,"score_gpt":0.2655765027251998,"score_spread":0.2576659105274067,"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."}}