{"id":"W4413555983","doi":"10.1109/mcom.001.2400652","title":"Integrated Heterogeneous Service Provisioning: Unifying Beyond-Communication Capabilities with MDMA in 6G and Future Wireless Networks","year":2025,"lang":"en","type":"article","venue":"IEEE Communications Magazine","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Computer network; Provisioning; Wireless; Wireless network; Telecommunications; Service set; Wi-Fi array","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006230603,0.000290435,0.0003380026,0.0003662343,0.0007425081,0.0003640649,0.00360486,0.0001348272,0.000008101359],"category_scores_gemma":[0.00003275023,0.0002648263,0.00003858727,0.002529959,0.0002750265,0.0006210161,0.00153979,0.0007719098,0.000007812097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001685096,"about_ca_system_score_gemma":0.0001991591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006913557,"about_ca_topic_score_gemma":0.004462673,"domain_scores_codex":[0.9977552,0.0007933225,0.0005450389,0.0004273052,0.0001585143,0.0003205988],"domain_scores_gemma":[0.9938093,0.0005774995,0.0001809067,0.004786631,0.0005613437,0.00008430074],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001289304,0.0009195508,0.009145496,0.0001750645,0.0002002848,0.000008719646,0.008907624,0.01405243,0.001645574,0.3761475,0.00170365,0.5869652],"study_design_scores_gemma":[0.001265233,0.00008652006,0.006923533,0.0006487234,0.00002761339,0.00003665077,0.0006937677,0.9197142,0.0002112783,0.001686721,0.06815514,0.0005505952],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3141721,0.07375523,0.4177578,0.1427137,0.0010171,0.004117971,0.00001924115,0.001886997,0.04455993],"genre_scores_gemma":[0.9528648,0.01439588,0.03067556,0.001417095,0.00003025313,0.0002223144,0.00006585102,0.00002154763,0.0003067279],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9056618,"threshold_uncertainty_score":0.9999804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0200182878857237,"score_gpt":0.2671730265701196,"score_spread":0.2471547386843959,"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."}}