{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005287604,0.0003316752,0.0003381195,0.00044136,0.0009295555,0.00007969829,0.0009559797,0.0002496883,0.000003900358],"category_scores_gemma":[0.000002371574,0.0003892465,0.0000901081,0.001634049,0.0002250112,0.0004377994,0.00004748972,0.0009572844,0.00001671762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001182521,"about_ca_system_score_gemma":0.0000327078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001497536,"about_ca_topic_score_gemma":0.01152925,"domain_scores_codex":[0.9980576,0.0002473056,0.0007006646,0.0003344964,0.0001667718,0.0004931865],"domain_scores_gemma":[0.9967507,0.0008080722,0.00009950342,0.002099264,0.00010665,0.0001358865],"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":[0.000006010439,0.0000862398,0.00008236405,0.00001903753,0.00004943028,0.000002585585,0.0003752203,0.8453387,0.0006697772,0.0001090337,0.00004214773,0.1532194],"study_design_scores_gemma":[0.0004810311,0.00003165588,0.00005606003,0.0004054784,0.0000343712,0.0000101392,0.00005331357,0.9955392,0.0001126322,0.0001026754,0.002800574,0.0003728019],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004189444,0.001347472,0.9917554,0.0004711006,0.0004288674,0.0002255122,0.00001738143,0.0009104473,0.0006544091],"genre_scores_gemma":[0.9542413,0.01750991,0.02700409,0.0001517295,0.0001129031,0.0003004071,0.0001113828,0.0001212779,0.0004470104],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9647512,"threshold_uncertainty_score":0.9998559,"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."}}