{"id":"W2102132379","doi":"10.1109/tcsi.2003.822396","title":"Modified Register-Exchange Viterbi Decoder for Low-Power Wireless Communications","year":2004,"lang":"en","type":"article","venue":"IEEE Transactions on Circuits and Systems I Fundamental Theory and Applications","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Viterbi decoder; Shift register; Viterbi algorithm; Pointer (user interface); Decoding methods; Arithmetic; Computer hardware; Parallel computing; Algorithm; Telecommunications; Mathematics","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":[0.0002757625,0.0002203339,0.0002401551,0.0001301522,0.0006351979,0.0001011904,0.0002991269,0.0001217606,0.000006479824],"category_scores_gemma":[0.000001456772,0.0002320913,0.00006599852,0.0001612485,0.0002413072,0.0002075697,0.00000625831,0.0002111781,0.000006620607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001130276,"about_ca_system_score_gemma":0.00001270648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009870684,"about_ca_topic_score_gemma":0.00001708819,"domain_scores_codex":[0.9990086,0.0000694324,0.0003548028,0.0002633954,0.00009394334,0.0002098241],"domain_scores_gemma":[0.9985585,0.0003084398,0.00007298992,0.0008896573,0.00005203795,0.0001183968],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005722079,0.0007128222,0.000006951043,0.0008417086,0.0002635754,6.574681e-7,0.002692614,0.03137446,0.03209893,0.7508034,0.0000733097,0.1810744],"study_design_scores_gemma":[0.02121197,0.002001509,0.0004505317,0.004921657,0.001116405,0.0007620426,0.02346412,0.1398591,0.1748555,0.4006428,0.2210664,0.009647867],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01398151,0.001293562,0.9806452,0.00008212455,0.0001324546,0.001528813,0.0003023472,0.0004688968,0.001565053],"genre_scores_gemma":[0.9932159,0.001471971,0.0006708564,0.00008936929,0.00002507794,0.004201183,0.00002744039,0.00005478884,0.0002434623],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9799744,"threshold_uncertainty_score":0.9464407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02701593734529159,"score_gpt":0.2711444926807128,"score_spread":0.2441285553354212,"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."}}