{"id":"W2143471372","doi":"10.1109/isita.2008.4895585","title":"Adaptive lattice reduction in MIMO systems","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Lattice reduction; MIMO; Lattice (music); Reduction (mathematics); Algorithm; Fading; Computer science; Wireless; Rayleigh fading; Mathematics; Channel (broadcasting); Decoding methods; Telecommunications; Physics","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":[0.00003866762,0.00005365008,0.00007226766,0.00006978613,0.00002160428,0.000002970422,0.00008822525,0.00003781558,0.00000799689],"category_scores_gemma":[0.000005146755,0.00005692461,0.00001017764,0.0001428718,0.00001977819,0.0001473089,0.00001358207,0.0001017687,0.00002494159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007836283,"about_ca_system_score_gemma":0.000003861505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006421343,"about_ca_topic_score_gemma":0.000007319122,"domain_scores_codex":[0.9996764,0.00001647645,0.0001208625,0.00005797937,0.00004896926,0.00007932206],"domain_scores_gemma":[0.9997157,0.00001946949,0.00001160162,0.0002171548,0.00001950749,0.00001655752],"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":[0.0000353963,0.0001695823,0.001405999,0.0001521678,0.00006332174,0.00003491434,0.003773624,0.8002056,0.04552616,0.1084883,0.01398822,0.02615671],"study_design_scores_gemma":[0.0007167913,0.00009164802,0.005893069,0.0002295644,0.000007535543,0.0003060802,0.002379086,0.8371705,0.128373,0.002114629,0.02178402,0.0009340859],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2947495,0.002825528,0.5303838,0.00009348939,0.0004003031,0.000630956,0.000002737486,0.004568591,0.166345],"genre_scores_gemma":[0.9794841,0.0005322924,0.01951755,0.000003639321,0.00001706708,0.00004605915,0.000001614472,0.00001382573,0.0003837935],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6847346,"threshold_uncertainty_score":0.2321318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02928896087247192,"score_gpt":0.2402572550538596,"score_spread":0.2109682941813876,"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."}}