{"id":"W3131506243","doi":"10.20944/preprints202102.0507.v1","title":"Optical Frequency Microcomb Distillation for Super Channel Data Transmission","year":2021,"lang":"en","type":"preprint","venue":"Preprints.org","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":"Australian Research Council","keywords":"Optical amplifier; Bandwidth (computing); Comb filter; Optics; Optical performance monitoring; Wideband; Physics; Computer science; Wavelength-division multiplexing; Electronic engineering; Optoelectronics; Telecommunications; Wavelength; Engineering; Laser","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002427018,0.0004373331,0.0005225373,0.00008234929,0.0001647762,0.00005285611,0.001382787,0.0003604594,0.0005580063],"category_scores_gemma":[0.00005312878,0.000450511,0.0002282909,0.0001069872,0.00011605,0.0002772701,0.002996494,0.0008755969,0.00008457276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000702121,"about_ca_system_score_gemma":0.0001701022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001068781,"about_ca_topic_score_gemma":0.000004422636,"domain_scores_codex":[0.9972224,0.00004099279,0.0005252651,0.001560616,0.0002112625,0.0004394828],"domain_scores_gemma":[0.996824,0.00009172993,0.000199707,0.00260352,0.0001707772,0.0001102427],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002220148,0.001801056,0.5899559,0.001776873,0.001527117,0.00002644801,0.003005082,0.005629377,0.24378,0.02819396,0.0004459724,0.1236362],"study_design_scores_gemma":[0.002064635,0.00005018281,0.08253182,0.001150008,0.0005671057,0.000005187599,0.001525426,0.008436027,0.6683403,0.2130239,0.01969598,0.002609512],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5755205,0.0002134171,0.4184507,0.0008442248,0.0003209494,0.001253573,0.0006741691,0.0003151902,0.002407226],"genre_scores_gemma":[0.9620581,0.0000354105,0.03240781,0.00001970336,0.0002901853,0.0003488827,0.004459184,0.00007092785,0.0003098269],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5074241,"threshold_uncertainty_score":0.9997947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1467292247616515,"score_gpt":0.3647677417902668,"score_spread":0.2180385170286153,"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."}}