{"id":"W2122380585","doi":"10.1109/jlt.2005.857766","title":"Optical CDMA detection by basis selection","year":2005,"lang":"en","type":"article","venue":"Journal of Lightwave Technology","topic":"graph theory and CDMA systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Code division multiple access; Detector; Computer science; Detection theory; Selection (genetic algorithm); Electronic engineering; Multiuser detection; Algorithm; Basis (linear algebra); Computational complexity theory; Code (set theory); Signal-to-noise ratio (imaging); Telecommunications; Mathematics; Engineering; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.0002186297,0.000105104,0.0002018209,0.0004396525,0.00004533854,0.00001340011,0.0001353821,0.0002670599,0.00004939397],"category_scores_gemma":[0.00003256195,0.00009302142,0.00008155601,0.0003967518,0.00003930181,0.0001501758,0.000009210825,0.0004063302,0.00004245583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001024009,"about_ca_system_score_gemma":0.00000623566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.879098e-7,"about_ca_topic_score_gemma":0.000006608826,"domain_scores_codex":[0.9992456,0.00001916337,0.0003672444,0.00007154368,0.0001145701,0.0001818793],"domain_scores_gemma":[0.9996621,0.00002400671,0.00009546408,0.00009174576,0.00007558462,0.00005110523],"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":[0.00003401619,0.00006289325,0.0004766619,0.00002210595,0.0001487257,0.00001368828,0.00005948183,0.001136071,0.8708293,0.004385732,0.004031875,0.1187994],"study_design_scores_gemma":[0.000328644,0.0002616211,0.000103901,0.00002155438,0.00003241782,0.001325876,0.00006274766,0.002603912,0.9188914,0.00190989,0.07433145,0.0001265375],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9625049,0.0008847747,0.03308906,0.0006707138,0.0005450537,0.00005656688,0.000001009735,0.0002983904,0.001949481],"genre_scores_gemma":[0.9984589,0.00005447549,0.001130372,0.00001738916,0.0002428745,0.000003156193,2.015826e-7,0.00001804591,0.0000746381],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1186729,"threshold_uncertainty_score":0.3793303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00252290079663805,"score_gpt":0.1775994054809267,"score_spread":0.1750765046842886,"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."}}