{"id":"W2136781252","doi":"10.1364/ol.33.002002","title":"Optical implementation of orthogonal frequency-division multiplexing using time lenses","year":2008,"lang":"en","type":"article","venue":"Optics Letters","topic":"Optical Network Technologies","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Optics; Multiplexing; Wavelength-division multiplexing; Division (mathematics); Fourier transform; Transmission (telecommunications); Frequency domain; Time domain; Optical fiber; Frequency-division multiplexing; Time-division multiplexing; Orthogonal frequency-division multiplexing; Computer science; Physics; Telecommunications; Mathematics; Channel (broadcasting)","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":[0.0001810842,0.0004140528,0.0002136334,0.0003558398,0.0003687974,0.0006645964,0.000603739,0.0003221019,0.001716516],"category_scores_gemma":[0.0002681866,0.000163055,0.000183264,0.0003832686,0.0003499039,0.000640497,0.0003893171,0.0002622898,0.0002875575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005849779,"about_ca_system_score_gemma":0.0004235162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005648626,"about_ca_topic_score_gemma":0.0009633623,"domain_scores_codex":[0.9998193,0.00002256076,0.00001022856,0.00001896076,0.00007701609,0.00005189477],"domain_scores_gemma":[0.9997633,0.00004912076,0.00007244971,0.00003650443,0.00005525504,0.00002326815],"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":[0.0003084667,0.0001124328,0.0005709041,0.0001253512,0.00001803377,0.0002583111,0.00008852455,0.001753307,0.9278906,0.04142049,0.0006147694,0.02683886],"study_design_scores_gemma":[0.00005274951,0.0002360408,0.0004993057,0.000008928627,0.00001539213,0.0002472309,0.00002736113,0.02247001,0.9675003,0.001143042,0.007777579,0.00002218588],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7787991,0.0008695193,0.1744151,0.0004410993,0.0004477936,0.0002180135,0.0001517158,0.0008261051,0.04383158],"genre_scores_gemma":[0.9031056,0.0006071822,0.0890172,0.000064733,0.00006709057,0.00008645537,0.00006239511,0.00002626924,0.006963151],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001716516,"threshold_uncertainty_score":0.005742371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01930314608149018,"score_gpt":0.2410954240322052,"score_spread":0.221792277950715,"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."}}