{"id":"W2106949082","doi":"10.1109/isit.2001.935968","title":"Random space-time codes with iterative decoders for BLAST architectures","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Block code; Computer science; Turbo code; Decoding methods; Concatenated error correction code; Convolutional code; Algorithm; Block (permutation group theory); Channel code; Space–time code; Coding (social sciences); Space time; Linear code; Code (set theory); Theoretical computer science; Mathematics; Combinatorics; 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":[0.0007330509,0.0004583706,0.0004340432,0.0003972284,0.000299322,0.0005116457,0.0006651854,0.000860911,0.001278914],"category_scores_gemma":[0.002874497,0.0002801661,0.0003185694,0.0004956276,0.0007052224,0.0008339536,0.0005867103,0.0008139663,0.0009236544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006129068,"about_ca_system_score_gemma":0.0008606362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007253579,"about_ca_topic_score_gemma":0.001447246,"domain_scores_codex":[0.9992462,0.0002550654,0.00002921236,0.00007202902,0.0003454516,0.00005202379],"domain_scores_gemma":[0.9988334,0.0005087555,0.0001299541,0.0001941507,0.00029326,0.00004057481],"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":[0.0003064277,0.00007124319,0.001241269,0.0001616987,0.00006676219,0.0003014589,0.0002244657,0.2872246,0.03485588,0.5386774,0.003080719,0.1337881],"study_design_scores_gemma":[0.00005980168,0.0001433609,0.0002617086,0.00003009286,0.00002564333,0.0003814508,0.00001555459,0.8924475,0.02105008,0.07399751,0.01154892,0.00003847299],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01891114,0.0004847251,0.974757,0.0001678655,0.000041421,0.00004598224,0.0000507028,0.0003503702,0.005190922],"genre_scores_gemma":[0.3435114,0.0008462229,0.6467834,0.0002312355,0.0001160014,0.0001723394,0.0002281646,0.00009900697,0.008012256],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001278914,"threshold_uncertainty_score":0.004446924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008995402863409495,"score_gpt":0.2175901849276929,"score_spread":0.2085947820642834,"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."}}