{"id":"W3112374657","doi":"10.1049/cmu2.12053","title":"Low‐complexity channel estimation for time division duplex massive multi‐user multi‐input multi‐output systems","year":2020,"lang":"en","type":"article","venue":"IET Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Duplex (building); Computer science; Division (mathematics); Channel (broadcasting); Real-time computing; Telecommunications; Mathematics; Arithmetic","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001932026,0.0003345827,0.0004117691,0.0001158717,0.0004334176,0.0001092898,0.0009099572,0.0001917311,0.00001196516],"category_scores_gemma":[0.0003629355,0.0003745476,0.0001299271,0.0003636908,0.0001132221,0.0005192849,0.0002751012,0.0002906696,0.000300915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002085632,"about_ca_system_score_gemma":0.00003032913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004727816,"about_ca_topic_score_gemma":0.00003258773,"domain_scores_codex":[0.9983163,0.0001403384,0.0006760269,0.000344264,0.0001633651,0.0003596468],"domain_scores_gemma":[0.9975059,0.0002956789,0.0002215236,0.001448987,0.0003260515,0.0002018431],"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":[0.000007507151,0.000124742,0.0000369258,0.0002589626,0.00005080837,4.215353e-7,0.001466268,0.9930188,0.00310285,0.0004359528,0.0007877894,0.000708969],"study_design_scores_gemma":[0.001383672,0.00002966917,0.0004015296,0.0001630091,0.0000373197,0.000001711026,0.0002570623,0.9950845,0.0004016331,0.00001605742,0.001845444,0.000378356],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0005349159,0.0007139388,0.9940192,0.0007533457,0.0002776018,0.002096298,0.0003661218,0.001102861,0.0001356908],"genre_scores_gemma":[0.621723,0.00009208732,0.3758862,0.00006525456,0.00006369826,0.0006586281,0.001006259,0.0001149503,0.0003899622],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.621188,"threshold_uncertainty_score":0.9998707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07546087393445206,"score_gpt":0.2972447817288836,"score_spread":0.2217839077944316,"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."}}