{"id":"W4300698956","doi":"10.48550/arxiv.1709.05161","title":"Device Activity and Embedded Information Bit Detection Using AMP in\\n Massive MIMO","year":2017,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"IoT Networks and Protocols","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Engineering Link (Canada)","funders":"","keywords":"Computer science; Network packet; Computer network; Distributed computing; Cellular network; Random access; MIMO; The Internet","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007850276,0.0005790316,0.00054459,0.0003178025,0.0002931911,0.0006707605,0.0007234759,0.0007369434,0.0006668975],"category_scores_gemma":[0.002186046,0.0002942112,0.0003602298,0.0003750993,0.001109709,0.001049008,0.001100832,0.0005016491,0.0001981746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005414738,"about_ca_system_score_gemma":0.0003976401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001055656,"about_ca_topic_score_gemma":0.001054187,"domain_scores_codex":[0.9993236,0.0002844313,0.00001595927,0.0000776388,0.0002045734,0.00009378415],"domain_scores_gemma":[0.9989169,0.0007411091,0.00009018687,0.0001103876,0.00009288542,0.00004866901],"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":[0.0002721151,0.00006727015,0.001792043,0.0001172851,0.00007216291,0.0006479817,0.0002374823,0.8638698,0.0230747,0.07328855,0.0006723395,0.03588831],"study_design_scores_gemma":[0.000004458584,0.00003188639,0.0001435088,0.000002776035,0.000006716465,0.00006906917,0.000009986377,0.9924955,0.002160463,0.004865127,0.0002035059,0.000006895744],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09492486,0.0004280745,0.8984988,0.0003628178,0.00006807969,0.00004155743,0.00005344549,0.0002976947,0.005324706],"genre_scores_gemma":[0.9432127,0.0002337523,0.05308703,0.0001143956,0.00006163198,0.00003932131,0.00003436928,0.00001690758,0.003199943],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001055656,"threshold_uncertainty_score":0.004151642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07231493538657542,"score_gpt":0.2084270269668302,"score_spread":0.1361120915802548,"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."}}