{"id":"W2916760466","doi":"10.1109/tmc.2019.2901671","title":"On the Interaction of Charging-Aware Mobility and Wireless Capacity","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Mobile Computing","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Computer network; Waypoint; Wireless; Node (physics); Inductive charging; Mobility model; Mobile device; Hotspot (geology); Wireless network; Telecommunications; Real-time computing; Engineering","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":[0.001084812,0.0006071841,0.0006345569,0.0009704544,0.0009969439,0.001953966,0.001322428,0.001386438,0.004574455],"category_scores_gemma":[0.009048601,0.0005272849,0.0006426359,0.0009657692,0.002400363,0.004824257,0.002100533,0.001313827,0.0004465005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001806515,"about_ca_system_score_gemma":0.0007911963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007590707,"about_ca_topic_score_gemma":0.006770616,"domain_scores_codex":[0.9994226,0.000245926,0.00001453501,0.0000780194,0.000073837,0.0001651348],"domain_scores_gemma":[0.9948372,0.003799401,0.0005061864,0.0003231385,0.0002960296,0.000238028],"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":[0.00009112542,0.00006215968,0.002918559,0.00007833852,0.00003972291,0.0004149749,0.0003398687,0.5537865,0.001892243,0.427143,0.002670635,0.01056292],"study_design_scores_gemma":[0.00001362693,0.00004020728,0.001428863,0.00004058938,0.00002012824,0.000219672,0.0002126101,0.8236925,0.0002479191,0.1720267,0.002007863,0.00004929503],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.302472,0.004144982,0.6018082,0.01513471,0.000522956,0.0001180007,0.0005261596,0.0004121152,0.07486093],"genre_scores_gemma":[0.9884136,0.00132728,0.004990142,0.0002184594,0.0001445166,0.00003835469,0.00003869915,0.00005040413,0.004778568],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007590707,"threshold_uncertainty_score":0.01530308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01244042561674202,"score_gpt":0.2135455819086439,"score_spread":0.2011051562919018,"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."}}