{"id":"W2741341841","doi":"10.1007/978-3-319-57388-5_4","title":"Uplink Resource-Allocation in VWN with Massive-MIMO and Dynamic Pilot-Duration","year":2017,"lang":"en","type":"book-chapter","venue":"Springer briefs in electrical and computer engineering","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Duration (music); MIMO; Computer science; Telecommunications link; Resource allocation; Mathematical optimization; Resource (disambiguation); Iterative method; Spectral efficiency; Real-time computing; Computer network; Algorithm; Mathematics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001050418,0.0003963413,0.0004287055,0.000420214,0.00004383678,0.0000976911,0.000133108,0.0002355534,0.000001859274],"category_scores_gemma":[0.0000106045,0.0004243953,0.00002401093,0.00006548789,0.0000294156,0.0002007814,0.00006321887,0.0005890179,0.000002223652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002464212,"about_ca_system_score_gemma":0.00001620587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001336986,"about_ca_topic_score_gemma":0.00005295323,"domain_scores_codex":[0.9987059,0.000006626236,0.0004089396,0.0004327755,0.0001290961,0.0003166267],"domain_scores_gemma":[0.9994826,0.0000530227,0.00008093832,0.0002709194,0.00002949918,0.00008304935],"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":[0.00003016553,0.00001207869,0.0001427132,0.0003340071,0.00004849589,0.00006039525,0.0001169402,0.948826,0.0002636974,0.007270733,0.00001545571,0.04287935],"study_design_scores_gemma":[0.000539512,0.0001104063,0.001491258,0.0007083004,0.00001442433,0.00003929955,6.044497e-7,0.9946458,0.000037178,0.0002173412,0.001693098,0.000502756],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0032218,0.002837213,0.989041,0.00005129497,0.0001949626,0.0006092085,0.000002554581,0.0003369558,0.003704953],"genre_scores_gemma":[0.9635165,0.001612532,0.02986995,0.00003343785,0.0004113119,0.00009227617,0.00006714335,0.0003333036,0.004063548],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9602947,"threshold_uncertainty_score":0.9998208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005254500038269797,"score_gpt":0.1818112347234603,"score_spread":0.1765567346851905,"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."}}