{"id":"W1991523744","doi":"10.1109/tit.2013.2253596","title":"Effects of the LLL Reduction on the Success Probability of the Babai Point and on the Complexity of Sphere Decoding","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Information Theory","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Mathematics; Permutation (music); Decoding methods; Reduction (mathematics); Integer (computer science); Combinatorics; Algorithm; Estimator; Discrete mathematics; Point (geometry); Computer science; 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":[0.0004698046,0.0001199823,0.0001311918,0.0000475608,0.0002250244,0.00001625384,0.0004010045,0.00005971332,0.00006012456],"category_scores_gemma":[0.00005826516,0.00005878809,0.00009481165,0.0002380383,0.000520861,0.0004044843,0.000007219751,0.000330074,0.000004043775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006499389,"about_ca_system_score_gemma":0.00001417722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000300888,"about_ca_topic_score_gemma":0.00000803026,"domain_scores_codex":[0.9989823,0.0002797255,0.0003943594,0.00005698862,0.0001977835,0.00008883306],"domain_scores_gemma":[0.9981609,0.0007491886,0.0002304677,0.0007284238,0.0001157847,0.00001525083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002253536,0.0003592795,0.00004423657,0.001414162,0.0002104835,1.625938e-8,0.0121433,0.2905056,0.04205725,0.5424113,0.0004224334,0.1102066],"study_design_scores_gemma":[0.0001508191,0.00004944135,0.002117064,0.0002432124,0.00001856723,0.000001484443,0.0006898279,0.008192741,0.9390697,0.04935646,0.00003362704,0.00007697968],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.777263,0.00002087435,0.2170572,0.0009925904,0.0002607882,0.0017751,0.00002360679,0.0001162393,0.002490594],"genre_scores_gemma":[0.9993579,0.00004871575,0.0003288642,0.00007141288,0.000004826472,0.0001674549,6.026532e-7,0.000009075906,0.00001108734],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8970125,"threshold_uncertainty_score":0.2397309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01360289504885822,"score_gpt":0.2115266037370741,"score_spread":0.1979237086882158,"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."}}