{"id":"W1857173409","doi":"10.1109/twc.2015.2390220","title":"Unitary Query for the &lt;inline-formula&gt; &lt;tex-math notation=\"TeX\"&gt;$M\\times L\\times N$&lt;/tex-math&gt;&lt;/inline-formula&gt; MIMO Backscatter RFID Channel","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"RFID technology advancements","field":"Engineering","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Notation; Mathematics; Channel (broadcasting); Mathematical notation; Algorithm; Computer science; Algebra over a field; Discrete mathematics; Arithmetic; Pure mathematics; Telecommunications","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","sts"],"consensus_categories":[],"category_scores_codex":[0.0008279345,0.00109611,0.0009642154,0.000888233,0.001792752,0.0001841133,0.003397394,0.000750434,0.00009139779],"category_scores_gemma":[0.00008569421,0.001034833,0.0005467376,0.001526945,0.0007721645,0.001335267,0.00009007463,0.001521608,0.0006122888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006388329,"about_ca_system_score_gemma":0.0002980482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007309044,"about_ca_topic_score_gemma":0.001503839,"domain_scores_codex":[0.9953199,0.0002353472,0.001593997,0.0008252503,0.0007843638,0.001241136],"domain_scores_gemma":[0.9915588,0.001507281,0.0003938882,0.005291845,0.0008608335,0.0003873624],"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":[0.0003815293,0.003700638,0.00008205864,0.0005763972,0.003606488,0.00001882715,0.006630964,0.8043357,0.02821542,0.06393823,0.01881711,0.06969663],"study_design_scores_gemma":[0.00359171,0.0003218051,0.0002665755,0.0003993736,0.0007226535,0.00007891543,0.0007758766,0.8764455,0.01523472,0.003213872,0.09721491,0.001734127],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1079006,0.005431554,0.8582452,0.01342842,0.002611219,0.004297732,0.001983391,0.003583016,0.002518881],"genre_scores_gemma":[0.9682974,0.00406516,0.02080484,0.0006101489,0.0001737501,0.002738305,0.0006565205,0.0003691077,0.002284823],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8603967,"threshold_uncertainty_score":0.9995068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02871599277526123,"score_gpt":0.265916030696976,"score_spread":0.2372000379217148,"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."}}