{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004321622,0.0003239136,0.0001314701,0.0002279387,0.0002322557,0.0004948489,0.0004425877,0.0006086627,0.00308371],"category_scores_gemma":[0.0006847219,0.0001656601,0.000188498,0.0001641397,0.000471916,0.0006536966,0.0003473428,0.0003610431,0.0005974817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005345923,"about_ca_system_score_gemma":0.0005998485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001030341,"about_ca_topic_score_gemma":0.002256692,"domain_scores_codex":[0.9995673,0.00004560541,0.000009397477,0.00004934512,0.000244927,0.00008346154],"domain_scores_gemma":[0.9997085,0.000090024,0.00005122862,0.00004976915,0.00008171981,0.00001872294],"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":[0.0002793868,0.0001870199,0.003187971,0.0002106506,0.00006815229,0.0004385478,0.0001597668,0.01568031,0.8677102,0.06332475,0.00386277,0.0448905],"study_design_scores_gemma":[0.0001034634,0.001529175,0.004052219,0.00009650389,0.00009609172,0.0009082858,0.000156844,0.1483824,0.7784419,0.01527093,0.05090114,0.00006112891],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8202695,0.001099094,0.1089082,0.001938127,0.0005094806,0.0001701149,0.0002815074,0.001381593,0.06544237],"genre_scores_gemma":[0.9543161,0.0002694899,0.04057625,0.0003028547,0.00005106117,0.00003036223,0.00008200555,0.00003441167,0.004337413],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00308371,"threshold_uncertainty_score":0.01031601,"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."}}