{"id":"W2252313751","doi":"10.1109/twc.2015.2497240","title":"Block-Level Unitary Query: Enabling Orthogonal-Like Space-Time Code With Query Diversity for MIMO Backscatter RFID","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; MIMO; Decoding methods; Unitary state; Block code; Diversity gain; Algorithm; Code (set theory); Space–time block code; Theoretical computer science; Telecommunications; Channel (broadcasting); Fading","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006209426,0.0005429938,0.0004963827,0.0002867953,0.0004229324,0.0009498888,0.0007647317,0.0007659252,0.001174944],"category_scores_gemma":[0.00199324,0.0002055873,0.0002953922,0.0007211644,0.0007664327,0.001231029,0.001203924,0.0006594358,0.0005675317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004665246,"about_ca_system_score_gemma":0.0008342504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008937041,"about_ca_topic_score_gemma":0.001240436,"domain_scores_codex":[0.9990324,0.0002513376,0.00005427439,0.0001361562,0.0003701933,0.0001556852],"domain_scores_gemma":[0.99892,0.0003239786,0.0001407749,0.0002019508,0.000349499,0.00006388601],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009253675,0.0002003462,0.002170351,0.0004785697,0.00009876382,0.0007287803,0.0004964068,0.0703201,0.4620306,0.203608,0.004849866,0.2540929],"study_design_scores_gemma":[0.0001112099,0.0009158798,0.0008051991,0.00005578922,0.00009038703,0.001757479,0.0001382031,0.7485778,0.1938049,0.03581637,0.01781357,0.0001131752],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03468909,0.0006448983,0.9597789,0.0004235962,0.00009409429,0.00009451682,0.000103169,0.0003218932,0.003849755],"genre_scores_gemma":[0.7551808,0.0008178285,0.2392258,0.0008217323,0.000141619,0.000126815,0.0001823576,0.00005202,0.003451025],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001174944,"threshold_uncertainty_score":0.003930628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05042221421493129,"score_gpt":0.2415386808979265,"score_spread":0.1911164666829952,"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."}}