{"id":"W4362653997","doi":"10.1109/jiot.2023.3264654","title":"Ultragreen Relay Transmission With Wireless Power Transfer for Advanced IoT: Session-Specific Analysis and Optimization","year":2023,"lang":"en","type":"article","venue":"IEEE Internet of Things Journal","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Energy consumption; Relay; Transmission (telecommunications); Computer network; Data transmission; Latency (audio); Wireless; Quality of service; Real-time computing; Power (physics); Telecommunications; Electrical engineering; Engineering","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":[0.0009269622,0.0009479365,0.0007286803,0.0004389576,0.0003787879,0.001157171,0.0007831936,0.0007712062,0.002558716],"category_scores_gemma":[0.00164592,0.0003879485,0.0006658991,0.0007888776,0.0006806468,0.001506963,0.0007108702,0.0006619557,0.0003930808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001396005,"about_ca_system_score_gemma":0.0008674043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001823737,"about_ca_topic_score_gemma":0.002264725,"domain_scores_codex":[0.999631,0.0001284917,0.00001122734,0.00005475331,0.0001046078,0.00006988058],"domain_scores_gemma":[0.9994369,0.0003370605,0.00007748455,0.0000323,0.00009866066,0.00001761287],"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":[0.00003207231,0.00003603739,0.0003051812,0.00009074187,0.00002563938,0.00008605937,0.00006002735,0.9562323,0.005168058,0.02523527,0.0006708661,0.01205784],"study_design_scores_gemma":[0.000001861819,0.00001829867,0.00007816621,0.000004512114,0.000007668391,0.00002434517,0.00001863818,0.9952863,0.0005058484,0.003764869,0.0002852776,0.000004266279],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03462447,0.001017364,0.9549568,0.0003224598,0.00003215428,0.00006420766,0.00007887786,0.00013841,0.008765319],"genre_scores_gemma":[0.9367372,0.002100355,0.05422922,0.00008438809,0.00004958484,0.0001598451,0.00009569548,0.00008585929,0.006457897],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002558716,"threshold_uncertainty_score":0.01012874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007354661759891407,"score_gpt":0.2106886420359871,"score_spread":0.2033339802760957,"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."}}