{"id":"W2140435059","doi":"10.1109/wcnc.2004.1311467","title":"Quasiregular LDPC codes for space-time wireless transmission","year":2004,"lang":"en","type":"article","venue":"","topic":"Error Correcting Code Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Low-density parity-check code; Block code; Coding gain; Computer science; Concatenated error correction code; Fading; Rayleigh fading; Turbo code; Algorithm; Electronic engineering; Space–time code; Tornado code; Antenna diversity; Forward error correction; Convolutional code; Antenna (radio); Decoding methods; Telecommunications; 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":[0.0004073488,0.0002821581,0.0002539745,0.0004369073,0.0002782221,0.0005439408,0.0003596106,0.0005290083,0.0007946376],"category_scores_gemma":[0.002517486,0.0001650148,0.0001778016,0.0007634272,0.0008289812,0.0005032214,0.0004161972,0.0006892817,0.0002781153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006062964,"about_ca_system_score_gemma":0.0005722037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008812677,"about_ca_topic_score_gemma":0.0008154868,"domain_scores_codex":[0.99958,0.0001692788,0.00002047154,0.00003908271,0.0001600355,0.00003115978],"domain_scores_gemma":[0.9985399,0.0007538883,0.0001689397,0.0002979443,0.0002022281,0.00003712664],"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":[0.0001841123,0.000048716,0.001261024,0.000280373,0.00003009681,0.0001942446,0.0002600414,0.4344319,0.04176062,0.4036408,0.002114342,0.1157936],"study_design_scores_gemma":[0.00002750409,0.00009624255,0.0003518037,0.00002736339,0.00001002681,0.0001600446,0.00001727435,0.8806432,0.01574224,0.09604108,0.006858252,0.0000249213],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0767718,0.001670549,0.9157625,0.0003279169,0.00006800275,0.00005409107,0.0001309517,0.0004944402,0.004719719],"genre_scores_gemma":[0.7680952,0.001502033,0.2269591,0.0001270726,0.00008177679,0.0001531159,0.0002225377,0.00007543048,0.002783747],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0008812677,"threshold_uncertainty_score":0.004399002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01185726371446421,"score_gpt":0.2550885045646623,"score_spread":0.243231240850198,"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."}}