{"id":"W2053784592","doi":"10.1109/twc.2007.360364","title":"Rateless Coding for Wireless Relay Channels","year":2007,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":143,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Relay; Fountain code; Computer science; Computer network; Wireless; Coding (social sciences); Relay channel; Decoding methods; Online codes; Channel state information; Telecommunications; Block code; Concatenated error correction code; Mathematics","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":[0.001266843,0.0007021429,0.0005452891,0.0004858586,0.0003658131,0.0009354772,0.001280763,0.0008533599,0.001015842],"category_scores_gemma":[0.004398415,0.000262501,0.0004665182,0.0005631657,0.001289833,0.001667112,0.0009649166,0.001471727,0.0004573229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008317469,"about_ca_system_score_gemma":0.0008311452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001340923,"about_ca_topic_score_gemma":0.0008702297,"domain_scores_codex":[0.9989717,0.000384278,0.00003821476,0.00008894608,0.0004109069,0.0001060108],"domain_scores_gemma":[0.9981152,0.0009309201,0.000184852,0.0003816203,0.0003431686,0.00004429607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006852264,0.00002534214,0.0001266413,0.00008582592,0.00001705188,0.0001563205,0.000113453,0.2806246,0.008669941,0.6801003,0.001459913,0.02855209],"study_design_scores_gemma":[0.00002705388,0.00005524901,0.00005302301,0.00002680331,0.00001193528,0.0001312147,0.00000964992,0.8192614,0.003412019,0.172401,0.004581374,0.00002927625],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00544077,0.0003874642,0.9913031,0.0001616114,0.00005221931,0.00002648005,0.000045462,0.0001180277,0.002464833],"genre_scores_gemma":[0.5869287,0.00201706,0.4038692,0.000400745,0.0002802884,0.0003635965,0.0002297842,0.0001276856,0.005782912],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001340923,"threshold_uncertainty_score":0.006699741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06604303079732751,"score_gpt":0.3179111441387598,"score_spread":0.2518681133414322,"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."}}