{"id":"W4226151623","doi":"10.1364/ofc.2022.tu3h.1","title":"Digital Subcarriers: A Universal Technology for Next Generation Optical Networks","year":2022,"lang":"en","type":"article","venue":"Optical Fiber Communication Conference (OFC) 2022","topic":"Optical Network Technologies","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Infineon Technologies (Canada)","funders":"","keywords":"Scalability; Computer science; Simple (philosophy); Point (geometry); Point-to-point; Software; Telecommunications; Passive optical network; Computer network; Wavelength-division multiplexing; Operating 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005544485,0.0003852087,0.0002677862,0.0009750949,0.001096161,0.001898709,0.0007620782,0.0006861512,0.004748975],"category_scores_gemma":[0.001026224,0.0002013345,0.0001587856,0.000769128,0.001301778,0.003760305,0.002326491,0.001240847,0.002082048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007838536,"about_ca_system_score_gemma":0.001076226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007159908,"about_ca_topic_score_gemma":0.000816519,"domain_scores_codex":[0.9995467,0.00003857699,0.00002318064,0.00006646576,0.0002603255,0.00006457498],"domain_scores_gemma":[0.9996288,0.00005518773,0.00005103923,0.00009611611,0.0001156153,0.00005332695],"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":[0.0003341985,0.0001138702,0.001252866,0.0005010051,0.00002415993,0.0004262988,0.0004153088,0.002235057,0.1500412,0.3539604,0.02252037,0.4681752],"study_design_scores_gemma":[0.00007896552,0.0003663219,0.0007663071,0.0003018865,0.00004468608,0.001669149,0.0002350742,0.01892385,0.1668752,0.07608006,0.7345518,0.0001066377],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1084876,0.03094342,0.6570408,0.006721487,0.003773157,0.0004036438,0.001015299,0.004328814,0.1872857],"genre_scores_gemma":[0.6672277,0.01877175,0.2358841,0.001562237,0.001362505,0.0003015306,0.0005954931,0.0003511055,0.0739435],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004748975,"threshold_uncertainty_score":0.0158869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03498777013757549,"score_gpt":0.2326649180432749,"score_spread":0.1976771479056994,"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."}}