{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001669009,0.000847592,0.0006585415,0.0009283884,0.0006776784,0.001942505,0.001024287,0.0006779417,0.003569812],"category_scores_gemma":[0.008025121,0.0003479991,0.0005255047,0.000801396,0.002276882,0.002330246,0.001540481,0.001523202,0.0005858847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002320311,"about_ca_system_score_gemma":0.001516253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002842665,"about_ca_topic_score_gemma":0.001062277,"domain_scores_codex":[0.9985342,0.0004478987,0.00004643216,0.0001621764,0.0005043416,0.0003049793],"domain_scores_gemma":[0.9931953,0.004739663,0.0004528373,0.0003807161,0.001070333,0.0001611099],"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":[0.0001445391,0.00003564563,0.0003073827,0.0002224896,0.00003643123,0.0003630615,0.0003126853,0.239306,0.01060133,0.7331181,0.003751229,0.01180111],"study_design_scores_gemma":[0.00002260866,0.00004884877,0.0002956578,0.0001209516,0.00001997397,0.0002923468,0.00008692098,0.7427689,0.00491135,0.2471467,0.004239173,0.00004653117],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09733114,0.006246924,0.8034475,0.002022505,0.0002074339,0.00008538748,0.0006852188,0.0005006524,0.08947328],"genre_scores_gemma":[0.9724321,0.002060376,0.02039443,0.0003374876,0.0002146746,0.0001457256,0.0001714099,0.00009230802,0.004151447],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003569812,"threshold_uncertainty_score":0.01683509,"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."}}