{"id":"W4366957393","doi":"10.1109/lcomm.2023.3269739","title":"Capacity Region of Asynchronous Multiple Access Channels With FTN","year":2023,"lang":"en","type":"article","venue":"IEEE Communications Letters","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Türkiye Bilimsel ve Teknolojik Araştırma Kurumu","keywords":"Asynchronous communication; Computer science; Channel capacity; Channel (broadcasting); Power (physics); Computer network; Physics","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":[0.00009377444,0.000149802,0.0001963309,0.0002917552,0.0001601203,0.00002824802,0.002381989,0.00007210159,0.000002244966],"category_scores_gemma":[0.00005076161,0.0001524468,0.00004315669,0.0009602085,0.0004287893,0.0003297191,0.0003187458,0.0003196875,0.00002998653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000887703,"about_ca_system_score_gemma":0.000009896581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004538218,"about_ca_topic_score_gemma":0.00007685993,"domain_scores_codex":[0.9992071,0.0000557698,0.0002612227,0.0001315058,0.0001232148,0.0002212369],"domain_scores_gemma":[0.9961323,0.0003402322,0.00009983755,0.003329373,0.00006637348,0.00003187298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000128443,0.00008345416,0.005690256,0.00015296,0.0001540546,0.000005363021,0.001169129,0.8885205,0.07624599,0.001492568,0.007038325,0.01943458],"study_design_scores_gemma":[0.002379998,0.00013261,0.02164673,0.0007338375,0.00007497443,0.00007229061,0.001286818,0.5561923,0.3889367,0.002196164,0.02446256,0.001885022],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7407362,0.0003097596,0.2472952,0.007037861,0.0001691824,0.0004376064,0.00002013636,0.003394845,0.0005992051],"genre_scores_gemma":[0.9865241,0.001337247,0.01172985,0.00009715167,0.00001145869,0.0002117118,0.00003527476,0.00004449252,0.000008713132],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3323282,"threshold_uncertainty_score":0.6216599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06986111955359676,"score_gpt":0.2736433979874227,"score_spread":0.2037822784338259,"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."}}