{"id":"W2008935098","doi":"10.1145/1557626.1557654","title":"Radius selection algorithms for sphere decoding","year":2009,"lang":"en","type":"article","venue":"","topic":"Numerical Methods and Algorithms","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Hypersphere; Decoding methods; Rounding; Selection (genetic algorithm); Algorithm; RADIUS; Computer science; Computation; List decoding; Selection algorithm; Mathematics; Artificial intelligence; Concatenated error correction code","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":[0.001806863,0.001242038,0.00123593,0.001323524,0.0009480873,0.001426909,0.001260945,0.001259554,0.004082959],"category_scores_gemma":[0.01250425,0.0004475607,0.0008396911,0.001798967,0.001259969,0.001770095,0.002184534,0.001538431,0.004141826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00109315,"about_ca_system_score_gemma":0.001349452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003219485,"about_ca_topic_score_gemma":0.002011198,"domain_scores_codex":[0.9976147,0.0009441213,0.0001535458,0.0003105813,0.0008233829,0.0001535482],"domain_scores_gemma":[0.9958767,0.002009364,0.0003269258,0.0007079175,0.0009719395,0.000107184],"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":[0.0003399326,0.00005073404,0.0007024951,0.0001765053,0.00006722894,0.0001289052,0.0002653134,0.3993494,0.007694176,0.1546422,0.01165368,0.4249294],"study_design_scores_gemma":[0.00003891747,0.00005157984,0.000132534,0.00002726499,0.00001108211,0.0001262535,0.00003705221,0.9406105,0.007602766,0.0423269,0.008999429,0.00003569963],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001779501,0.0002695195,0.9955642,0.00008676403,0.00004064078,0.00002549438,0.00002451868,0.000423331,0.001785936],"genre_scores_gemma":[0.09030498,0.0006988313,0.9031669,0.0001556762,0.0001225314,0.0002037225,0.0002367733,0.0004468727,0.004663754],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004082959,"threshold_uncertainty_score":0.01365882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03654321661490212,"score_gpt":0.3298576156190115,"score_spread":0.2933143990041094,"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."}}