{"id":"W3010240329","doi":"10.1364/ofc.2020.t4a.2","title":"Silicon Photonics to Add 5G RoF Services to PONs Employing Carrier Reuse","year":2020,"lang":"en","type":"article","venue":"","topic":"Advanced Photonic Communication Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Radio over fiber; Photonics; Radio frequency; Silicon photonics; Reuse; Passive optical network; Optoelectronics; Computer science; Orthogonal frequency-division multiplexing; Optical fiber; Materials science; SIGNAL (programming language); Silicon; Electronic engineering; Wavelength-division multiplexing; Telecommunications; Wavelength; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008747186,0.0001814416,0.000232349,0.0000617115,0.00006509302,0.00004851718,0.0008716088,0.00006259282,0.0002964466],"category_scores_gemma":[0.00006858387,0.0001936181,0.00005108397,0.0004696216,0.000005942138,0.0001442914,0.0003019529,0.0001720095,0.0003614058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001054626,"about_ca_system_score_gemma":0.00002027609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001331391,"about_ca_topic_score_gemma":0.0005436317,"domain_scores_codex":[0.9989596,0.00002626038,0.0003143627,0.0002446293,0.0001736738,0.0002814865],"domain_scores_gemma":[0.9981783,0.00007487836,0.0000246227,0.001256208,0.00006232446,0.0004036663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006858951,0.00003096771,0.001965088,0.0004778964,0.0001780861,0.00001271273,0.0511075,0.4526263,0.4720605,0.001016929,0.01709672,0.003358721],"study_design_scores_gemma":[0.000309513,0.00006519403,0.0004446719,0.00008945506,0.00001343347,0.000004893575,0.002821937,0.0682551,0.06488319,0.00002681556,0.8625631,0.000522647],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9654527,0.0005121781,0.006557278,0.002493317,0.000296005,0.0009596815,0.00007198846,0.001806025,0.02185084],"genre_scores_gemma":[0.9854003,0.00001729417,0.01158004,0.002336413,0.00004211902,0.0001147155,0.000009105596,0.00007184275,0.0004282332],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8454664,"threshold_uncertainty_score":0.7895516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02093184760638592,"score_gpt":0.2520076284983485,"score_spread":0.2310757808919626,"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."}}