{"id":"W2397296965","doi":"10.1109/twc.2016.2572084","title":"Hybrid ARQ in Multicell MU-SIMO With Large-Scale Antenna Arrays","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Scale (ratio); Telecommunications; Physics","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":[0.0009965455,0.0006073737,0.0005585172,0.000281302,0.000495496,0.0007969558,0.0008371554,0.0006223981,0.0010756],"category_scores_gemma":[0.001303537,0.000244787,0.0004264631,0.0006786573,0.0008543105,0.000784756,0.0006499109,0.0004880232,0.0001879359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008759563,"about_ca_system_score_gemma":0.0004614618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00510998,"about_ca_topic_score_gemma":0.004715287,"domain_scores_codex":[0.9994667,0.0002509545,0.00001135353,0.00006287693,0.0001122808,0.00009595235],"domain_scores_gemma":[0.9991073,0.0005484181,0.000103499,0.00005872417,0.0001434081,0.00003868205],"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":[0.00005727739,0.00002388321,0.0004307198,0.00003141995,0.00002542423,0.0001806487,0.00004530138,0.9741998,0.002447177,0.01573025,0.0004013658,0.006426796],"study_design_scores_gemma":[0.000003423877,0.00001481459,0.00004324495,8.710896e-7,0.000002508064,0.00001214306,0.0000113287,0.9983352,0.000204032,0.001271748,0.00009735211,0.000003287276],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1475607,0.001367636,0.8400292,0.0004133068,0.0001117959,0.00004959717,0.0001002397,0.0003241244,0.0100434],"genre_scores_gemma":[0.9675269,0.0003576118,0.02982003,0.00008933536,0.00005595606,0.00004094336,0.00002923476,0.00002109522,0.002058956],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00510998,"threshold_uncertainty_score":0.01016045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0126260859710421,"score_gpt":0.228763001799272,"score_spread":0.2161369158282299,"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."}}