{"id":"W2154661743","doi":"10.1109/jlt.2007.893917","title":"Spectral-Amplitude-Coded OCDMA Optimized for a Realistic FBG Frequency Response","year":2007,"lang":"en","type":"article","venue":"Journal of Lightwave Technology","topic":"graph theory and CDMA systems","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Bit error rate; Fiber Bragg grating; Code division multiple access; Encoder; Amplitude; Computer science; Transmission (telecommunications); Electronic engineering; Optics; Optical fiber; Physics; Algorithm; Telecommunications; Decoding methods; 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":[0.0005237927,0.0003834917,0.0002532641,0.0002627514,0.0002040179,0.0003220559,0.000492245,0.0004838069,0.001034608],"category_scores_gemma":[0.001365087,0.0002238311,0.0002350374,0.0002987743,0.0004941581,0.0004113151,0.0002346496,0.0004065777,0.0002261401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008615383,"about_ca_system_score_gemma":0.001098376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002550517,"about_ca_topic_score_gemma":0.004079583,"domain_scores_codex":[0.9998389,0.00003949831,0.000003401837,0.00001434437,0.00008441837,0.00001930427],"domain_scores_gemma":[0.9996154,0.0002132506,0.00004673433,0.00002813044,0.00008430402,0.00001214121],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001663798,0.00002406756,0.0002038021,0.00004841737,0.00001398495,0.0000252487,0.00002422583,0.9513479,0.01141588,0.03129464,0.0003390354,0.00524605],"study_design_scores_gemma":[0.00000434276,0.000006767707,0.00003121118,0.000002205794,0.000001932298,0.000004442758,0.000002595769,0.9963882,0.001281583,0.002035097,0.0002391998,0.000002448188],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07747021,0.0001278688,0.9121465,0.0002340845,0.0000288293,0.00006391962,0.00007661793,0.0001972915,0.009654687],"genre_scores_gemma":[0.4922421,0.0001582225,0.5042706,0.00007873338,0.00001561236,0.0001666569,0.00009495536,0.00009699676,0.002876131],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002550517,"threshold_uncertainty_score":0.006250918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01067272240430178,"score_gpt":0.2460834639006537,"score_spread":0.2354107414963519,"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."}}