{"id":"W1989889906","doi":"10.1109/tcomm.2014.2360852","title":"Source-Channel Coding for Fading Channels With Correlated Interference","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Wireless Communication Security Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Fading; Computer science; Channel state information; Transmitter; Channel (broadcasting); Upper and lower bounds; Algorithm; Decoding methods; Topology (electrical circuits); Electronic engineering; Telecommunications; Mathematics; Wireless; Engineering","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":[0.001455934,0.00105201,0.0008588265,0.0005170568,0.0003417308,0.0009072804,0.0009881468,0.0008415723,0.001308122],"category_scores_gemma":[0.005268209,0.00031053,0.0004417175,0.00104327,0.001193188,0.001244246,0.001443691,0.001165755,0.00028317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001256862,"about_ca_system_score_gemma":0.001310223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003166099,"about_ca_topic_score_gemma":0.002354081,"domain_scores_codex":[0.9990477,0.0003087551,0.00003693597,0.00008035354,0.0003951871,0.000131144],"domain_scores_gemma":[0.9968854,0.0023023,0.0002416272,0.0002002552,0.000325597,0.00004483776],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004649759,0.000009267821,0.0001639242,0.00006306609,0.00002024751,0.00007485221,0.0000573351,0.9349883,0.001819582,0.0552585,0.000259604,0.007238819],"study_design_scores_gemma":[0.00000569883,0.00001102024,0.00003611625,0.000007279841,0.000005172179,0.00002138328,0.000006081624,0.9882742,0.0008496493,0.01058705,0.000191057,0.00000534525],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01856611,0.0004316122,0.9784759,0.0001334197,0.00002344736,0.00002625162,0.00007083185,0.00008041034,0.002192043],"genre_scores_gemma":[0.8969364,0.0008734706,0.09984023,0.00008181656,0.00004121314,0.0001065191,0.0001491871,0.00003141039,0.001939888],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003166099,"threshold_uncertainty_score":0.009119272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03337097799345879,"score_gpt":0.2565792292077833,"score_spread":0.2232082512143245,"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."}}