{"id":"W4313365403","doi":"10.1109/nana56854.2022.00007","title":"Keynotes","year":2022,"lang":"en","type":"article","venue":"2022 International Conference on Networking and Network Applications (NaNA)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Provisioning; Architecture; Computer network; Leverage (statistics); Base station; Telecommunications; Key (lock); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001843126,0.0009348802,0.000850065,0.001227023,0.002259505,0.003924476,0.00153335,0.002827021,0.5460026],"category_scores_gemma":[0.01437781,0.0002752865,0.0006223132,0.001198274,0.0005762065,0.002831049,0.002469225,0.00464608,0.3708963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001837414,"about_ca_system_score_gemma":0.001860573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002196478,"about_ca_topic_score_gemma":0.0031329,"domain_scores_codex":[0.9982682,0.0002575141,0.0001309358,0.0003279453,0.0007707506,0.000244625],"domain_scores_gemma":[0.9933851,0.001555285,0.0003026535,0.0005011359,0.003019652,0.00123612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004209587,0.00001144881,0.00004782394,0.00005278182,0.000001606637,0.00003793478,0.00003098451,0.00002151392,0.0001269622,0.003713618,0.9828638,0.01304946],"study_design_scores_gemma":[0.000005780314,0.00001119627,0.0001209462,0.00004589576,0.000001939487,0.00005306579,0.00006089961,0.00002759846,0.00009424952,0.0009810168,0.9985933,0.000004013847],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0009250324,0.006279677,0.003499648,0.09263847,0.3421105,0.0004828798,0.005643189,0.001415904,0.5470047],"genre_scores_gemma":[0.009788847,0.003036566,0.0009414829,0.02498141,0.03570772,0.0002765019,0.002564337,0.0005968286,0.9221063],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4539974,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01742813299754198,"score_gpt":0.2436119339033068,"score_spread":0.2261838009057649,"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."}}