{"id":"W1991621708","doi":"10.1109/tbc.2013.2257585","title":"Constellation Rotation for DVB Multiple Access Channels With Raptor Coding","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Broadcasting","topic":"Error Correcting Code Techniques","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Israel Science Foundation","keywords":"Decoding methods; Constellation; Computer science; Decodes; Channel (broadcasting); Telecommunications; Real-time computing; 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":[0.0002318306,0.0001954306,0.0001704565,0.0002619927,0.0004550994,0.0004493553,0.0004305031,0.00007851701,0.00001957558],"category_scores_gemma":[0.00002522867,0.0001864815,0.00007153139,0.0004679024,0.00003593686,0.001522788,0.000004191811,0.0001945045,0.00001928732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009250775,"about_ca_system_score_gemma":0.00004907611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001457093,"about_ca_topic_score_gemma":0.00002632388,"domain_scores_codex":[0.9986665,0.00005349038,0.0002824378,0.0004469052,0.0002287387,0.0003218982],"domain_scores_gemma":[0.9983972,0.0007561084,0.0001839912,0.000325976,0.0002558775,0.00008083105],"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":[0.00007692616,0.000193552,0.0005980422,0.0001286573,0.00006669972,0.000003060528,0.00212156,0.174416,0.04245194,0.0002105635,0.0003469207,0.779386],"study_design_scores_gemma":[0.000533768,0.0002149279,0.00007928853,0.0001721615,0.00001299234,0.00002408725,0.00009049202,0.7973555,0.200954,0.0002186411,0.0000761222,0.0002680355],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03900201,0.000005343542,0.9574231,0.0002151759,0.0007192148,0.001118328,0.000003308681,0.0009225379,0.0005909712],"genre_scores_gemma":[0.8913283,0.000002503012,0.1081619,0.0001090807,0.00005942149,0.0002452351,0.000001602952,0.00002616546,0.00006576418],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8523263,"threshold_uncertainty_score":0.7604493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0462710419857451,"score_gpt":0.2832437117516656,"score_spread":0.2369726697659205,"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."}}