{"id":"W2054668682","doi":"10.1364/oe.15.006831","title":"Combination of optical and electronic logic gates for error correction in multipath differential demodulation","year":2007,"lang":"en","type":"article","venue":"Optics Express","topic":"Optical Network Technologies","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Forward error correction; Demodulation; Error detection and correction; Keying; Bit error rate; Phase-shift keying; Multipath propagation; Electronic engineering; Optics; Telecommunications; Algorithm; Physics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001313087,0.00009270794,0.0001374797,0.0001027586,0.00001921044,0.00001177495,0.00005945767,0.0001466069,0.000001687757],"category_scores_gemma":[0.0001050793,0.0000951902,0.00002122538,0.0001005903,0.00005001456,0.00007260689,0.00002336176,0.0001320047,4.233183e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005918965,"about_ca_system_score_gemma":0.000003179695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001919737,"about_ca_topic_score_gemma":0.0000190887,"domain_scores_codex":[0.9993476,0.00000548236,0.0002085235,0.0001149176,0.00007626389,0.00024717],"domain_scores_gemma":[0.9996133,0.000206987,0.00002727848,0.00009099593,0.00003882519,0.00002261878],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000361531,0.0005345935,0.01099437,0.0004511451,0.00007774057,0.000004041675,0.0004596268,0.209524,0.3295245,0.3550759,0.0001097956,0.09288272],"study_design_scores_gemma":[0.0006057867,0.0001355369,0.01308932,0.00003052557,0.00001204853,0.000001471182,0.00006402974,0.9326383,0.04801048,0.005281817,0.0000177199,0.000112976],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7778681,0.00006997229,0.2213571,0.00001513492,0.0001928305,0.0002246142,0.000001231841,0.000114013,0.0001570458],"genre_scores_gemma":[0.9836996,0.00004650283,0.01616973,0.000001578759,0.00002556342,0.00001851503,0.0000125221,0.00001577801,0.00001024026],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7231143,"threshold_uncertainty_score":0.3881744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01127266216891994,"score_gpt":0.2417698844601592,"score_spread":0.2304972222912393,"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."}}