{"id":"W4402834061","doi":"10.1109/vtc2024-spring62846.2024.10683251","title":"Joint Channel Estimation and User Activity Detection for mmWave Grant-Free Massive MTC Networks Under Pilot Contamination Attack","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"National Natural Science Foundation of China","keywords":"Joint (building); Computer science; Channel (broadcasting); Computer network; Contamination; Real-time computing; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0001391029,0.0001645979,0.0001508203,0.0001275841,0.00008018489,0.00009325655,0.00003907321,0.0001026073,0.000006570775],"category_scores_gemma":[0.00004788354,0.0001638825,0.00003406599,0.0001569977,0.00001701056,0.0006387657,0.00001691825,0.0001096488,0.000004866183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000206809,"about_ca_system_score_gemma":0.000006853261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001636055,"about_ca_topic_score_gemma":0.0001945517,"domain_scores_codex":[0.999307,0.00001982139,0.0001853862,0.0002264596,0.00008105978,0.0001803211],"domain_scores_gemma":[0.9995767,0.0001110136,0.00003630187,0.0001582829,0.00007283446,0.00004482081],"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":[0.0000173668,0.000007634553,0.000001446877,0.000191244,0.00003492795,6.333133e-7,0.00007906233,0.9789484,0.005818898,0.0007452788,0.0003422913,0.01381287],"study_design_scores_gemma":[0.0004632711,0.0001013168,0.0003217841,0.0000853305,0.00003267159,0.000007740623,0.00006600824,0.987527,0.01040045,0.0007466123,0.00006510109,0.0001826957],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009333181,0.0001985337,0.9877861,0.0001061988,0.0008590171,0.0007946374,0.00001040939,0.0006392635,0.0002726939],"genre_scores_gemma":[0.9916118,0.00003992704,0.007593802,0.00001329461,0.0001437839,0.0001808813,0.00003025274,0.00005792229,0.0003283703],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9822786,"threshold_uncertainty_score":0.6682934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02696647413098989,"score_gpt":0.2461629159053566,"score_spread":0.2191964417743667,"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."}}