{"id":"W4391087047","doi":"10.23919/ofc49934.2023.10116313","title":"Real-Time Point-to-Multipoint for Coherent Optical Broadcast and Aggregation – Enabled by Digital Subcarrier Multiplexing","year":2023,"lang":"en","type":"article","venue":"","topic":"Optical Network Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Infineon Technologies (Canada)","funders":"","keywords":"Subcarrier; Computer science; Multiplexing; Transceiver; Wavelength-division multiplexing; Computer network; Subcarrier multiplexing; Electronic engineering; Passive optical network; Time-division multiplexing; Multi-mode optical fiber; Optical fiber; Optical communication; Fiber-optic communication; Telecommunications; Orthogonal frequency-division multiplexing; Wavelength; Optics; Plastic optical fiber; Physics; Engineering; Wireless","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":[0.0002283904,0.0001749744,0.0001197453,0.0001878408,0.0002954342,0.0003041423,0.0003743675,0.0002306714,0.001064169],"category_scores_gemma":[0.0002693949,0.00008334625,0.0000524975,0.0001702486,0.0004397694,0.0004180181,0.0003467111,0.0003768848,0.0001870005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002793526,"about_ca_system_score_gemma":0.0001908337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003986603,"about_ca_topic_score_gemma":0.0009096759,"domain_scores_codex":[0.9998733,0.00002021806,0.000003655211,0.00002090793,0.00005499514,0.00002696728],"domain_scores_gemma":[0.9998453,0.00006040914,0.00002815839,0.00002339576,0.00002677977,0.00001594748],"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":[0.000146461,0.00006730307,0.0008741881,0.0000760008,0.000008486871,0.0002505881,0.0003115878,0.001921477,0.9624773,0.005042305,0.0005602596,0.02826392],"study_design_scores_gemma":[0.00002115421,0.0004977179,0.001426545,0.000007682567,0.00001074126,0.0003836449,0.00007823434,0.04042862,0.9491073,0.001155519,0.006862443,0.00002036393],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9166875,0.0005528158,0.07801104,0.0002238472,0.0000506694,0.00005431571,0.00006016841,0.0002930497,0.004066387],"genre_scores_gemma":[0.9792188,0.0001182087,0.01909648,0.00001792823,0.0000168619,0.0000141681,0.00003572838,0.00001088892,0.001470933],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001064169,"threshold_uncertainty_score":0.003560066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008278569187736885,"score_gpt":0.217017834950497,"score_spread":0.2087392657627601,"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."}}