{"id":"W4406983190","doi":"10.1109/tvt.2025.3536330","title":"Optimization of Rate-Splitting Multiple Access With Integrated Sensing and Backscatter Communication","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Backscatter (email); Electronic engineering; Remote sensing; Computer science; Telecommunications; Engineering; Wireless; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001002344,0.001154543,0.0007751143,0.0003030939,0.0002586308,0.00102716,0.0008939693,0.0005375519,0.001703341],"category_scores_gemma":[0.001330909,0.0003832658,0.0003753191,0.0006583636,0.0006583717,0.0007972346,0.0009073059,0.0006574471,0.0003729026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000591236,"about_ca_system_score_gemma":0.001008763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001501443,"about_ca_topic_score_gemma":0.001755703,"domain_scores_codex":[0.9991004,0.0003296067,0.00003142082,0.000133232,0.0002855186,0.0001198431],"domain_scores_gemma":[0.9993572,0.0003028198,0.0001146131,0.0000443043,0.0001475452,0.00003356774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002203869,0.00011088,0.0006527962,0.0001751258,0.00007224827,0.0001615365,0.00009214962,0.8692827,0.02734206,0.03069807,0.001529612,0.0696626],"study_design_scores_gemma":[0.00001311668,0.00008087346,0.0000811704,0.000005438944,0.00001293899,0.00003793645,0.00001089141,0.994647,0.002279448,0.002209225,0.0006143631,0.000007561892],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02123467,0.0004827221,0.9726917,0.0001519544,0.00003743464,0.00004718896,0.0000353245,0.0001755153,0.005143521],"genre_scores_gemma":[0.8130687,0.0006455238,0.1803756,0.0001294493,0.00005768368,0.0001488623,0.0000842944,0.00006568938,0.005424229],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001703341,"threshold_uncertainty_score":0.005698264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00634588830108612,"score_gpt":0.2121492990911017,"score_spread":0.2058034107900156,"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."}}