{"id":"W7132874161","doi":"","title":"Implementing a GPU-Assisted LDPC Decoder for 5G New Radio","year":2023,"lang":"","type":"dissertation","venue":"TSpace","topic":"Error Correcting Code Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Mitacs","keywords":"Speedup; Decoding methods; Soft-decision decoder; Scheduling (production processes); Block (permutation group theory); Low-density parity-check code; Code (set theory); Graphics processing unit; Block code","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001262665,0.0002940225,0.0002187156,0.0002058886,0.0002508132,0.000445916,0.0004816169,0.0003039829,0.001974158],"category_scores_gemma":[0.0006602196,0.0001131495,0.000178677,0.0002461303,0.0001390021,0.0004871066,0.0002495837,0.000389297,0.0005438464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005043225,"about_ca_system_score_gemma":0.0007717939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003784059,"about_ca_topic_score_gemma":0.006286157,"domain_scores_codex":[0.9998617,0.00002480949,0.000005529883,0.0000199929,0.0000674433,0.00002056275],"domain_scores_gemma":[0.9998032,0.00004751739,0.00001481219,0.00004409931,0.00007863704,0.00001168607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008075374,0.0002456822,0.007682906,0.0003390308,0.0001338173,0.0005985853,0.0003975382,0.2243704,0.4148283,0.01919788,0.006154941,0.3252434],"study_design_scores_gemma":[0.00006027599,0.0003264667,0.001520882,0.00002209543,0.00003743996,0.0002610194,0.00005252419,0.8138785,0.1661588,0.001319699,0.01633897,0.00002334319],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4187172,0.000624175,0.5569497,0.000316793,0.0001388973,0.0001617654,0.0002073121,0.00327171,0.01961246],"genre_scores_gemma":[0.6774257,0.0003235863,0.3121904,0.00009508912,0.00001717128,0.00005926908,0.0003188312,0.0001756726,0.00939425],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003784059,"threshold_uncertainty_score":0.007524073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06967151513876953,"score_gpt":0.4117973225902521,"score_spread":0.3421258074514826,"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."}}