{"id":"W2319796009","doi":"10.1364/acpc.2015.am1b.1","title":"Demonstration of Mode-Division Multiplexing for On-Chip Source-Synchronous Communications","year":2015,"lang":"en","type":"article","venue":"","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Concordia University","funders":"","keywords":"Multiplexing; Computer science; Time-division multiplexing; Statistical time division multiplexing; Mode (computer interface); Division (mathematics); Electronic engineering; Photonics; Chip; Bit error rate; Silicon chip; Telecommunications; Silicon; Engineering; Optoelectronics; Physics; Decoding methods","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":[0.0003125479,0.0004465686,0.0002244624,0.0002368637,0.0002996066,0.0004391489,0.0007759838,0.0004556593,0.00193472],"category_scores_gemma":[0.0004604233,0.0001857663,0.0001328631,0.0002563623,0.0003057559,0.0004280244,0.0004849378,0.0005697021,0.0003353377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002195507,"about_ca_system_score_gemma":0.0003704464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002939246,"about_ca_topic_score_gemma":0.0006958015,"domain_scores_codex":[0.9997583,0.00002886919,0.00000686634,0.00004821916,0.0001113932,0.00004620972],"domain_scores_gemma":[0.9996874,0.0001161444,0.0000495745,0.00004777095,0.0000565243,0.00004259734],"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":[0.00009229074,0.00008284843,0.0003240636,0.00006548464,0.00001084291,0.0001122122,0.00008380399,0.0004693573,0.9848015,0.003112351,0.0004852248,0.01036013],"study_design_scores_gemma":[0.00003229983,0.0006244762,0.001283174,0.000007621579,0.00001022165,0.0003531488,0.0000350011,0.01976993,0.9732549,0.0005633669,0.004048435,0.00001752862],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9255678,0.0003995241,0.05817586,0.0002946827,0.0002579546,0.00009949845,0.0002974455,0.000628726,0.01427845],"genre_scores_gemma":[0.9717512,0.0001602493,0.02601584,0.0000483279,0.00003297569,0.00003725313,0.00008703992,0.00002555664,0.001841544],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00193472,"threshold_uncertainty_score":0.00647223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05030741060597018,"score_gpt":0.2859032645051373,"score_spread":0.2355958538991671,"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."}}