{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002873969,0.0002839142,0.0002482365,0.0002526673,0.0004099305,0.0004070858,0.000456701,0.0002528797,0.002803165],"category_scores_gemma":[0.0006190776,0.0001590444,0.00009271596,0.0003423311,0.0004148927,0.0008117778,0.0005068555,0.0004334587,0.000487617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004713909,"about_ca_system_score_gemma":0.0003547788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006512161,"about_ca_topic_score_gemma":0.001912289,"domain_scores_codex":[0.9997713,0.00003224456,0.00001023725,0.00004840537,0.00009983534,0.00003796383],"domain_scores_gemma":[0.9996068,0.0001403059,0.00007598248,0.00007553432,0.00007417961,0.00002708291],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002284478,0.0000600792,0.0006821849,0.00009267469,0.000007161329,0.00007914212,0.00009007835,0.001343723,0.9620466,0.005132074,0.00101907,0.02921878],"study_design_scores_gemma":[0.00001769632,0.0001104252,0.0006015688,0.00000725971,0.00000574218,0.0001118278,0.00002180868,0.03621389,0.9541123,0.0007157097,0.008064845,0.00001692311],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8331828,0.001388239,0.1487593,0.0009040547,0.0002638721,0.0001204054,0.0004454755,0.001853009,0.01308282],"genre_scores_gemma":[0.9259371,0.0002638131,0.0693221,0.0001029902,0.00005422789,0.00006115343,0.0001557731,0.00007667433,0.004026095],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002803165,"threshold_uncertainty_score":0.009377539,"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."}}