{"id":"W2911405393","doi":"10.1109/jsac.2019.2898786","title":"Interference Mitigation for Ultrareliable Low-Latency Wireless Communication","year":2019,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Nokia","keywords":"Single antenna interference cancellation; Wireless; Fading; Bandwidth (computing); Telecommunications link; Scalability; Power control; Antenna diversity; Interference (communication); Wireless network","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008043806,0.0001971412,0.0002796467,0.0002758183,0.0004537522,0.0003787402,0.003917195,0.000141954,0.00002152056],"category_scores_gemma":[0.00009341269,0.0001896578,0.00009203686,0.001085592,0.00006426437,0.0008333815,0.0001787403,0.0009474537,0.00005803736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002122826,"about_ca_system_score_gemma":0.0002667318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002400077,"about_ca_topic_score_gemma":0.00008283377,"domain_scores_codex":[0.9979653,0.0004846928,0.0006621493,0.0002709283,0.0002465994,0.0003702825],"domain_scores_gemma":[0.9952866,0.001125718,0.000432777,0.002345835,0.0006913298,0.0001176718],"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":[0.0007369005,0.005390665,0.04497435,0.0003536737,0.0003880668,0.0000118283,0.009065324,0.04553742,0.03977825,0.5655707,0.02659799,0.2615949],"study_design_scores_gemma":[0.00445053,0.00113028,0.01900117,0.003833954,0.00002525256,0.0001630452,0.0001742326,0.8928283,0.009794989,0.05160303,0.01584208,0.001153084],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3957556,0.001086352,0.5599776,0.01479404,0.001493418,0.01372004,0.00003427445,0.0005515066,0.01258715],"genre_scores_gemma":[0.9739191,0.0006928473,0.0237024,0.0003513039,0.00005720327,0.001031825,0.00003203985,0.00002195556,0.0001913417],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8472909,"threshold_uncertainty_score":0.7734019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02303836852319859,"score_gpt":0.2923211005685652,"score_spread":0.2692827320453666,"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."}}