{"id":"W2963323362","doi":"","title":"Self-healing micro-comb","year":2019,"lang":"en","type":"article","venue":"Swinburne Research Bank (Swinburne University of Technology)","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":"Comb filter; Amplifier; Optics; Fiber laser; Filter (signal processing); Modulation (music); Laser; Materials science; Phase modulation; Phase (matter); Optical fiber; Band-pass filter; Optoelectronics; Physics; Acoustics; Phase noise; Engineering; Electrical engineering","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":[0.0001023005,0.0001332423,0.0001224384,0.0002289269,0.0002846004,0.0002219912,0.0004654502,0.0003205188,0.002860062],"category_scores_gemma":[0.0002065958,0.0001380313,0.0001250925,0.0001193599,0.0003328796,0.0003483091,0.000385988,0.0002636533,0.0006878082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001619082,"about_ca_system_score_gemma":0.0001102433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001434288,"about_ca_topic_score_gemma":0.000386243,"domain_scores_codex":[0.9998931,0.000006738411,0.00000523721,0.00002271151,0.00005749255,0.00001476122],"domain_scores_gemma":[0.9997981,0.00003701663,0.00005813755,0.00004618156,0.00003669666,0.00002386666],"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":[0.00005967193,0.00005650836,0.0002969859,0.0000581669,0.000009457798,0.0001681896,0.00007999979,0.001222542,0.9706378,0.005514471,0.0006012391,0.02129499],"study_design_scores_gemma":[0.00003039977,0.0002323914,0.0007430234,0.000008121048,0.000008280487,0.0003323749,0.00002666359,0.03265188,0.9507585,0.001600869,0.01358427,0.00002326146],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8542903,0.001420688,0.1286338,0.0005159936,0.000513137,0.0001550106,0.0001844308,0.001138588,0.01314809],"genre_scores_gemma":[0.9477838,0.0002027938,0.04471878,0.00007451714,0.0000669168,0.00005863467,0.00004840168,0.00003326646,0.007012834],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002860062,"threshold_uncertainty_score":0.009567857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01401205484701336,"score_gpt":0.2687338023636469,"score_spread":0.2547217475166336,"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."}}