{"id":"W2135562102","doi":"10.1109/vetecs.2009.5073464","title":"Cooperative Communication Using Bit-Selective Adaptive Demodulation and Raptor Codes: The Gaussian Relay Channel Case","year":2009,"lang":"en","type":"article","venue":"","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Demodulation; Computer science; Additive white Gaussian noise; QAM; Relay; Decoding methods; Bit error rate; Algorithm; Channel (broadcasting); Quadrature amplitude modulation; Communications system; Telecommunications","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":[0.001247248,0.0005324858,0.0005813341,0.000460506,0.0004230132,0.0005500679,0.000954823,0.001104662,0.0003563574],"category_scores_gemma":[0.002622785,0.0002602517,0.0003311552,0.0005238731,0.001425392,0.001136507,0.0008618647,0.0004872553,0.0002728259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002989333,"about_ca_system_score_gemma":0.0003499532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005915996,"about_ca_topic_score_gemma":0.0006283137,"domain_scores_codex":[0.9989906,0.0004225575,0.00003930846,0.0001713614,0.0002779259,0.00009821471],"domain_scores_gemma":[0.9984372,0.0007664424,0.0002408608,0.0003195416,0.0002006546,0.00003517823],"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":[0.0006344341,0.0001285734,0.002296633,0.0003574224,0.0002113755,0.002307724,0.00127685,0.5501806,0.1079064,0.216295,0.00142473,0.1169801],"study_design_scores_gemma":[0.00005104657,0.0002335532,0.0003322292,0.00001545498,0.00005415854,0.001053646,0.00007514982,0.9548568,0.01986812,0.02141683,0.001990753,0.00005232891],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06775191,0.0004704024,0.929075,0.0001987036,0.00002134855,0.00003263553,0.00002009047,0.0001389799,0.002290916],"genre_scores_gemma":[0.8674602,0.000345926,0.1309476,0.0001266432,0.00003772747,0.00004540696,0.00001516109,0.0000115538,0.001009658],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001247248,"threshold_uncertainty_score":0.006596148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05532247978223265,"score_gpt":0.2959430020150161,"score_spread":0.2406205222327835,"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."}}