{"id":"W1994384216","doi":"10.1109/vetecf.2010.5594221","title":"An Optimality-Robustness Tradeoff in the Compress-and-Forward Relay Scheme","year":2010,"lang":"en","type":"article","venue":"","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Relay; Robustness (evolution); Decoding methods; Computer science; Flexibility (engineering); Relay channel; Scheme (mathematics); Algorithm; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000797249,0.00008699475,0.00009656326,0.00004695419,0.0001860353,0.0002514123,0.001566647,0.00004660582,0.00004584805],"category_scores_gemma":[0.00002395374,0.00005785926,0.00002142117,0.0003061593,0.00008080531,0.0004620524,0.0002216261,0.0004130749,0.0000062442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005154707,"about_ca_system_score_gemma":0.00002116649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000973234,"about_ca_topic_score_gemma":0.0002546939,"domain_scores_codex":[0.9991337,0.0002026501,0.0001569621,0.0002174389,0.0001325612,0.0001566798],"domain_scores_gemma":[0.9987427,0.0001601853,0.00002984044,0.0009691684,0.00004192504,0.00005619815],"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":[0.000004267797,0.0001695688,0.003847741,0.000004305888,0.000005710029,0.000004559512,0.003054095,0.0008886458,0.004858979,0.9401204,0.0007137232,0.04632799],"study_design_scores_gemma":[0.0003067867,0.00003551179,0.02882002,0.000007442487,0.000001488505,0.00002284556,0.0001217503,0.9561752,0.0003549997,0.0002849518,0.01370183,0.0001671618],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6449044,0.0001662442,0.3293793,0.01223319,0.0002004977,0.0002584112,4.985068e-7,0.0001653148,0.01269215],"genre_scores_gemma":[0.9165148,0.00007075124,0.08239591,0.0008886945,0.00002996815,0.00001525624,0.000001456887,0.000003433886,0.00007979997],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9552866,"threshold_uncertainty_score":0.2911246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03602264493812735,"score_gpt":0.3054330624734502,"score_spread":0.2694104175353229,"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."}}