{"id":"W2161134252","doi":"10.1109/lpt.2006.889104","title":"A New Approach to Achieve High Spectral Efficiency in Wavelength-Time OCDMA Network Transmission","year":2007,"lang":"en","type":"article","venue":"IEEE Photonics Technology Letters","topic":"graph theory and CDMA systems","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Code division multiple access; Transmission (telecommunications); Bit error rate; Spectral efficiency; Demodulation; Channel (broadcasting); Transmitter; Modulation (music); Interference (communication); Code (set theory); Electronic engineering; Error detection and correction; Reed–Solomon error correction; Data transmission; Forward error correction; Decoding methods; Computer network; Algorithm; Concatenated error correction code; Telecommunications; Physics; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006468402,0.0003123134,0.0003851602,0.0006252418,0.00007506298,0.00001883129,0.0005677567,0.0004097733,0.00002193685],"category_scores_gemma":[0.000007199049,0.0003251611,0.00009415923,0.001571121,0.00006908089,0.00006429401,0.00002356444,0.0007044504,0.0001127949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001518377,"about_ca_system_score_gemma":0.00001850229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002383332,"about_ca_topic_score_gemma":0.00001078658,"domain_scores_codex":[0.9979359,0.00002982489,0.0004723738,0.0004360588,0.0001737681,0.0009520903],"domain_scores_gemma":[0.9992542,0.00005357404,0.00004174004,0.000486358,0.000009598441,0.0001545137],"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":[0.0002020167,0.0001420743,0.0003161201,0.00008443192,0.00009660844,0.0001604938,0.001121036,0.195813,0.7655227,0.008020227,0.007944861,0.02057645],"study_design_scores_gemma":[0.006846506,0.0008932117,0.002641939,0.0006808603,0.0001617643,0.0007638187,0.000563728,0.2171207,0.6901549,0.02516809,0.05012119,0.004883278],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8360073,0.000131056,0.1594383,0.0006491544,0.0005954067,0.0004930226,0.000002174103,0.0008606012,0.001822971],"genre_scores_gemma":[0.9828739,0.00001480743,0.01648272,0.0003588167,0.0001030221,0.0000297462,0.000003758915,0.00006202005,0.00007121968],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1468666,"threshold_uncertainty_score":0.9999201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004118969888660905,"score_gpt":0.1854326081248422,"score_spread":0.1813136382361813,"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."}}