{"id":"W2115825742","doi":"10.1109/tcomm.2006.869865","title":"Reliability-based coded modulation with low-density parity-check codes","year":2006,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Error Correcting Code Techniques","field":"Computer Science","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Low-density parity-check code; Demodulation; Decoding methods; Algorithm; Raptor code; Computer science; Coding (social sciences); Turbo code; Modulation (music); Bit error rate; Error detection and correction; Electronic engineering; Mathematics; Statistics; Telecommunications; Error floor; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004425059,0.0002288034,0.0002247981,0.0002394325,0.0008772049,0.0001467404,0.001671233,0.0001275394,0.000008095647],"category_scores_gemma":[0.00001204202,0.0002260331,0.0001147126,0.0008741592,0.0002467258,0.0004713083,0.00001383089,0.0005769634,0.00003829787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002104006,"about_ca_system_score_gemma":0.0001587181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001120741,"about_ca_topic_score_gemma":0.003236761,"domain_scores_codex":[0.9982048,0.0003449411,0.0003815219,0.0004522379,0.0003498054,0.0002667044],"domain_scores_gemma":[0.9946494,0.0005801601,0.000162544,0.004155394,0.0003778104,0.00007468904],"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":[0.0004003439,0.01430479,0.004424402,0.000242752,0.0002132784,0.00001942681,0.002385735,0.7657372,0.06295349,0.08148976,0.00322542,0.06460345],"study_design_scores_gemma":[0.0006421843,0.0002243277,0.005485226,0.0001312306,0.00004562549,0.00001561388,0.00002670708,0.8804747,0.103281,0.008507891,0.0006346363,0.0005308788],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03051585,0.00001503855,0.9636561,0.002071736,0.0001293364,0.0004375821,0.0000152037,0.001654889,0.001504214],"genre_scores_gemma":[0.7184799,0.000009751968,0.2810584,0.00014831,0.000008912284,0.0001312692,0.00001304094,0.00001831138,0.000132127],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.687964,"threshold_uncertainty_score":0.9217364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01966030584582169,"score_gpt":0.264262293130433,"score_spread":0.2446019872846114,"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."}}