{"id":"W4380303858","doi":"10.1109/tgcn.2023.3279326","title":"Linear/Non-Linear Energy Harvesting Models via Multi-Antenna Relay Cooperation in V2V Communications","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Green Communications and Networking","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Türkiye Bilimsel ve Teknolojik Araştırma Kurumu","keywords":"Relay; Energy harvesting; Rayleigh fading; Computer science; Wireless; Antenna (radio); Communications system; Fading; Topology (electrical circuits); Energy (signal processing); Computer network; Telecommunications; Electronic engineering; Power (physics); Electrical engineering; Mathematics; Channel (broadcasting); Engineering; Physics; Statistics","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":[0.000737137,0.0009538247,0.0009335343,0.0004087772,0.000502615,0.001117327,0.00145441,0.001147649,0.001867293],"category_scores_gemma":[0.001132888,0.0003922524,0.0006836271,0.0007384806,0.0009887296,0.001134973,0.0008586718,0.000863069,0.0005392773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009569419,"about_ca_system_score_gemma":0.0004512125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003449181,"about_ca_topic_score_gemma":0.00290249,"domain_scores_codex":[0.9994899,0.000202424,0.00001672703,0.00009065972,0.0001077863,0.00009242517],"domain_scores_gemma":[0.9992976,0.0003673362,0.0001099369,0.00005825399,0.000144044,0.00002276085],"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":[0.0001033026,0.00003289964,0.0004965629,0.0001150821,0.00004741914,0.000445241,0.0002252721,0.9354056,0.005422726,0.0490423,0.001171332,0.007492258],"study_design_scores_gemma":[0.000003171581,0.00003388406,0.0000758196,0.000006737373,0.00001024991,0.0000503479,0.00003252165,0.9945318,0.0003530294,0.004593984,0.0002992775,0.0000092294],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1117723,0.004407054,0.8474288,0.0008655955,0.0001911248,0.00006970439,0.0002291722,0.0002898406,0.03474638],"genre_scores_gemma":[0.9832947,0.001518065,0.007395168,0.00007261645,0.00004922278,0.00005182606,0.00004555151,0.00002229492,0.007550466],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003449181,"threshold_uncertainty_score":0.006943107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0639386063538656,"score_gpt":0.269739925649226,"score_spread":0.2058013192953604,"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."}}