{"id":"W1917209212","doi":"10.1186/s13638-015-0452-9","title":"Enabling 5G mobile wireless technologies","year":2015,"lang":"en","type":"article","venue":"EURASIP Journal on Wireless Communications and Networking","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":86,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Huawei Technologies (Canada); InterDigital (Canada); Institut National de la Recherche Scientifique","funders":"","keywords":"Computer science; Wireless; Wireless network; Exploit; Computer network; MIMO; Gigabit; Key (lock); Telecommunications; Channel (broadcasting); Computer security","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":[0.0004323989,0.0001851708,0.0002355829,0.0001848639,0.0003973626,0.0001599784,0.0005403301,0.0001099104,0.000001431856],"category_scores_gemma":[0.00002234287,0.0001768111,0.00004083234,0.0003680568,0.00009535071,0.0002895188,0.0001224645,0.000646835,0.000007901159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001340967,"about_ca_system_score_gemma":0.00002758267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001958117,"about_ca_topic_score_gemma":0.000007120914,"domain_scores_codex":[0.9989671,0.00009262831,0.0003923684,0.0001295456,0.0001428145,0.00027555],"domain_scores_gemma":[0.9987224,0.0001782644,0.0001465978,0.0006894538,0.0001226887,0.0001406168],"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":[0.00001696274,0.0000559193,0.001368734,0.00002913787,0.00007724323,0.0000137025,0.00111532,0.3193939,0.001051231,0.002097176,0.0009059893,0.6738747],"study_design_scores_gemma":[0.001016813,0.0001923162,0.00002600776,0.0009241645,0.00003611085,0.0004092065,0.004384205,0.8649637,0.0007984228,0.001755848,0.1248404,0.0006528547],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3339753,0.1502041,0.4852737,0.001537109,0.003697204,0.001275032,0.00001141324,0.004174178,0.01985192],"genre_scores_gemma":[0.9712412,0.02435223,0.004060116,0.00002892241,0.0001883251,0.00003949933,0.0000066956,0.0000515564,0.00003149416],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6732218,"threshold_uncertainty_score":0.7210147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03797132300804266,"score_gpt":0.2690961865440978,"score_spread":0.2311248635360551,"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."}}