{"id":"W2024482954","doi":"10.1109/twc.2005.858296","title":"Design of linear dispersion codes: asymptotic guidelines and their implementation","year":2005,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Interleaving; Block code; Algorithm; Pairwise error probability; Coding gain; Linear code; Coding (social sciences); Mathematics; Theoretical computer science; Decoding methods; Statistics","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":[0.0002247698,0.0002180751,0.0002517466,0.0002308947,0.0003184529,0.00001758428,0.000664757,0.00009551524,0.00003353601],"category_scores_gemma":[0.000004647439,0.0002174829,0.00006738552,0.0003096874,0.0001902948,0.0003101093,0.00001132129,0.0002969449,0.000008980605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001039448,"about_ca_system_score_gemma":0.00002639221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002881574,"about_ca_topic_score_gemma":0.0001312433,"domain_scores_codex":[0.9988173,0.0001392056,0.0005866429,0.0001572908,0.0001235643,0.0001760574],"domain_scores_gemma":[0.9976661,0.0004071936,0.0001052106,0.001557484,0.0001954763,0.00006855367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001678475,0.0001946599,0.00001623061,0.00004144285,0.0000976633,5.668008e-8,0.001438495,0.4459781,0.07456888,0.0006940406,0.0001887983,0.4767649],"study_design_scores_gemma":[0.0003572917,0.00006206152,0.00002951517,0.0001002017,0.00003010093,0.000004491591,0.0006373253,0.7173107,0.2795156,0.0001551017,0.001556228,0.0002414468],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01410816,0.0008442434,0.9830629,0.0007980263,0.00004315566,0.0004436192,0.00006578488,0.0005482098,0.0000859116],"genre_scores_gemma":[0.8548703,0.01334949,0.1314401,0.00006139472,0.0000117998,0.0001776626,0.00002339179,0.00004615925,0.00001973334],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8516228,"threshold_uncertainty_score":0.8868693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05306116090658107,"score_gpt":0.3256154492556579,"score_spread":0.2725542883490768,"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."}}