{"id":"W7011678679","doi":"","title":"Multi-User MIMO relay transceiver optimization: robust, energy-efficient and secure design approaches","year":2018,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Probability and Statistical Research","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Nanjing University; University of Electronic Science and Technology of China; Nanjing University of Posts and Telecommunications; Zhejiang University; McGill University; Fonds Québécois de la Recherche sur la Nature et les Technologies; University of Southampton; Curtin University of Technology","keywords":"Wireless; Transceiver; MIMO; Relay; Joint (building); Key (lock)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001514243,0.001382651,0.0009390421,0.0003731201,0.0002348434,0.001222913,0.0009846827,0.001231707,0.003733478],"category_scores_gemma":[0.003436655,0.0006254826,0.0006329007,0.0006715888,0.0009855147,0.001374708,0.001140018,0.001586046,0.001219717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008291988,"about_ca_system_score_gemma":0.0008013838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007321446,"about_ca_topic_score_gemma":0.0008303931,"domain_scores_codex":[0.9993615,0.000262415,0.00002153497,0.000114855,0.0001766163,0.00006304221],"domain_scores_gemma":[0.9988325,0.0007101418,0.0001432891,0.000112649,0.0001624321,0.00003901737],"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":[0.00009484613,0.0000535495,0.00030228,0.0002026082,0.00008916142,0.0001009218,0.0001027664,0.8431465,0.004484605,0.1068626,0.004614029,0.03994617],"study_design_scores_gemma":[0.00001285847,0.00006812978,0.0001416398,0.00002672447,0.00001961707,0.00006266362,0.00002176056,0.9544062,0.001452731,0.04183476,0.001936117,0.00001679841],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003709215,0.0009792186,0.9875264,0.0004334636,0.00005674716,0.00001938474,0.00006137376,0.00009495117,0.007119314],"genre_scores_gemma":[0.7302953,0.005656531,0.2385073,0.0006592733,0.0007046826,0.0002442505,0.0002638455,0.0001969177,0.02347185],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003733478,"threshold_uncertainty_score":0.01248974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1158997773325378,"score_gpt":0.297478041449525,"score_spread":0.1815782641169872,"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."}}