{"id":"W2081672511","doi":"10.1002/ett.1318","title":"Information rates for multi‐dimensional modulation over multiple antenna wireless channels","year":2008,"lang":"en","type":"article","venue":"European Transactions on Telecommunications","topic":"Wireless Communication Security Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Transmitter; Beamforming; Computer science; Channel (broadcasting); Transmitter power output; Wireless; Signal-to-noise ratio (imaging); Dimension (graph theory); SIGNAL (programming language); Code rate; Antenna (radio); Channel capacity; Power (physics); Telecommunications; Computer network; Topology (electrical circuits); Mathematics; Electrical engineering; Physics; Engineering; Decoding methods","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":[0.0002745814,0.0002516067,0.0002036523,0.0003738509,0.0008684834,0.00006285279,0.0006657948,0.00008806226,0.00005556203],"category_scores_gemma":[0.00003784412,0.0002900356,0.0001548187,0.0003838594,0.0001200347,0.0008649581,0.00001875428,0.000422891,0.0001623591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001208886,"about_ca_system_score_gemma":0.0000261745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002532377,"about_ca_topic_score_gemma":0.00003493068,"domain_scores_codex":[0.9986513,0.0001930514,0.0005720033,0.0001423561,0.0001784908,0.0002627495],"domain_scores_gemma":[0.9979819,0.0003176681,0.0001096551,0.001250271,0.0002427865,0.00009770343],"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":[0.0002221382,0.002615676,0.0007852651,0.0002393515,0.0006772715,0.000003431946,0.01738943,0.7839686,0.03730467,0.003240623,0.0101885,0.1433651],"study_design_scores_gemma":[0.001056703,0.00005791159,0.007863461,0.00005881157,0.0000191528,0.0000165254,0.0001112367,0.9655833,0.006972332,0.00004288205,0.01780483,0.0004128238],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07788838,0.0001172531,0.91777,0.0002769457,0.0001849071,0.0008276668,0.0001844314,0.00164841,0.001102004],"genre_scores_gemma":[0.9528776,0.0007368154,0.04527007,0.0001693828,0.00002612627,0.0002849868,0.0004410416,0.00007947969,0.000114476],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8749892,"threshold_uncertainty_score":0.9999552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03757860321777062,"score_gpt":0.2694978956172095,"score_spread":0.2319192923994389,"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."}}