{"id":"W2952482061","doi":"","title":"Broadcast Approaches to the Diamond Channel","year":2012,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Relay; Computer science; Rayleigh fading; Linear network coding; Channel (broadcasting); Throughput; Transmission (telecommunications); Decoding methods; Coding (social sciences); Broadcasting (networking); Code rate; Computer network; Algorithm; Topology (electrical circuits); Fading; Telecommunications; Wireless; Mathematics; Network packet","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":[0.0006650206,0.0003682326,0.0005648981,0.0006476035,0.0005622014,0.001032052,0.0008257105,0.0009313853,0.006493201],"category_scores_gemma":[0.00196283,0.0002411341,0.0003346714,0.0006503778,0.0009413828,0.001242486,0.001316124,0.001302972,0.0006679071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001102609,"about_ca_system_score_gemma":0.0007786101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001469192,"about_ca_topic_score_gemma":0.0012978,"domain_scores_codex":[0.9995473,0.000180322,0.00001462008,0.00006420351,0.0001277597,0.00006572567],"domain_scores_gemma":[0.9991457,0.0005558622,0.00004268981,0.00007148024,0.0001415399,0.00004275149],"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":[0.00007764073,0.00002215567,0.0001464487,0.0001389256,0.00001345743,0.0001169536,0.0001469077,0.07406234,0.001638222,0.8973244,0.00472077,0.02159181],"study_design_scores_gemma":[0.00004682124,0.00005653183,0.0000928138,0.00004015281,0.000009405309,0.0001557988,0.0001105714,0.498769,0.0009961495,0.4866339,0.01306333,0.00002540029],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02877446,0.003613197,0.8966089,0.00138348,0.0003380621,0.00006920742,0.0002180382,0.0001587295,0.06883594],"genre_scores_gemma":[0.8160337,0.004522532,0.1474457,0.0005100518,0.0003444275,0.0002241969,0.0003231491,0.00007884122,0.03051747],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006493201,"threshold_uncertainty_score":0.02172196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3456765231223248,"score_gpt":0.2089332965081778,"score_spread":0.136743226614147,"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."}}