{"id":"W4401749653","doi":"10.1109/tvt.2024.3447908","title":"IRS-Enabled Monostatic Backscatter MIMO Communication Design for V2I Networks","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"National Natural Science Foundation of China","keywords":"Backscatter (email); MIMO; Electronic engineering; Computer science; Communications system; Telecommunications; Remote sensing; Wireless; Electrical engineering; Computer network; Engineering; Channel (broadcasting); Geology","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":[0.0002270216,0.0002735997,0.0002591154,0.000439712,0.000189037,0.00007915974,0.0003784511,0.0005285994,0.00003099482],"category_scores_gemma":[0.000008687281,0.0002909964,0.0001298551,0.000726779,0.0001248273,0.0001419229,0.000002421083,0.0007896263,0.00005846646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001652603,"about_ca_system_score_gemma":0.00002413469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005554949,"about_ca_topic_score_gemma":0.00002228363,"domain_scores_codex":[0.9987357,0.00006053952,0.0003358529,0.0003284766,0.0001009333,0.000438463],"domain_scores_gemma":[0.9986403,0.0005173367,0.00002698869,0.0007026341,0.00005789081,0.00005482274],"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":[0.000009889833,0.00003099991,0.000001408073,0.000079998,0.0001653261,0.000009959949,0.00003749895,0.9670693,0.001740308,0.0006308559,0.002122838,0.02810161],"study_design_scores_gemma":[0.0002661782,0.00008817479,0.000003017947,0.0002706235,0.000102197,0.00003261801,0.00002740951,0.9665927,0.02503283,0.001360681,0.005932598,0.0002909897],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007197092,0.002044809,0.985243,0.0008271886,0.0008319009,0.0004999526,0.000009030942,0.003234379,0.0001127027],"genre_scores_gemma":[0.9644562,0.0006038654,0.03350549,0.00009455055,0.00005251803,0.0008844945,0.00001503185,0.000141585,0.0002462404],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9572591,"threshold_uncertainty_score":0.9999542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01270502319943718,"score_gpt":0.2238718570278577,"score_spread":0.2111668338284205,"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."}}