{"id":"W2005257110","doi":"10.1109/isit.2007.4557546","title":"M-user Gaussian Interference Channels: To Decode the Interference or To Consider it as Noise","year":2007,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Security Techniques","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Interference (communication); Computer science; Gaussian; Channel (broadcasting); Algorithm; Transmission (telecommunications); Noise (video); Gaussian noise; Polynomial; Decoding methods; Simple (philosophy); Iterative method; Interference alignment; Telecommunications; Topology (electrical circuits); Mathematics; MIMO; Artificial intelligence; Physics; Combinatorics","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":[0.0008572314,0.0009434668,0.0005950139,0.0002159717,0.0003171161,0.0008118964,0.0008226521,0.0009438629,0.00147766],"category_scores_gemma":[0.002771895,0.0001769627,0.0004108149,0.0006000309,0.001002097,0.00152254,0.0009122416,0.0008413899,0.0005383727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000470856,"about_ca_system_score_gemma":0.0009531157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009206863,"about_ca_topic_score_gemma":0.001225417,"domain_scores_codex":[0.9994289,0.0002373427,0.00002228926,0.00008860723,0.0001092584,0.0001135436],"domain_scores_gemma":[0.9992245,0.0004222103,0.0001043566,0.0001405633,0.00008076684,0.00002761025],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003567545,0.0001643276,0.001572201,0.0004967948,0.00009791186,0.0004214711,0.0004353382,0.3109721,0.01743085,0.5455233,0.004448831,0.1180802],"study_design_scores_gemma":[0.0000365666,0.0001628317,0.0002296867,0.00005395491,0.00003448934,0.000336684,0.00009298828,0.8341159,0.01220884,0.1460855,0.006613676,0.00002881434],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01880142,0.0006597566,0.9741088,0.0005486931,0.00005616189,0.00003651967,0.00005443304,0.00005828201,0.005675946],"genre_scores_gemma":[0.5868064,0.002496692,0.399469,0.0004663423,0.0002737952,0.0001847113,0.0001100835,0.0000583284,0.01013459],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00147766,"threshold_uncertainty_score":0.004943252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04245435814667356,"score_gpt":0.3244822248388434,"score_spread":0.2820278666921698,"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."}}