{"id":"W3113731435","doi":"10.1109/isncc49221.2020.9297268","title":"Achieving Immortality in Wireless Rechargeable Sensor Networks Using Local Learning","year":2020,"lang":"en","type":"article","venue":"","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; University of Ottawa","funders":"","keywords":"Immortality; Computer science; The Internet; Computer network; Wireless sensor network; Computer security; Wireless network; Wireless; Telecommunications; World Wide Web","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":[0.0007844562,0.000276809,0.0004493397,0.0002696148,0.0007098084,0.0006655903,0.0009838692,0.0003638184,0.001371654],"category_scores_gemma":[0.00192641,0.0001398026,0.0003159133,0.000323945,0.001724599,0.001940797,0.001562706,0.0008383715,0.0002956133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005230436,"about_ca_system_score_gemma":0.0003472849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005044739,"about_ca_topic_score_gemma":0.0007747473,"domain_scores_codex":[0.9997124,0.00008991418,0.00001515679,0.00005919524,0.00006044912,0.00006288352],"domain_scores_gemma":[0.9993206,0.0003871231,0.00007613246,0.0001068678,0.00007078246,0.00003850938],"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":[0.0004149652,0.0001460908,0.001705641,0.0003790582,0.00006671578,0.0004074625,0.0008986309,0.5249308,0.0508469,0.2695353,0.002091153,0.1485774],"study_design_scores_gemma":[0.00002199744,0.0002035578,0.0002537349,0.00002452796,0.00002222532,0.0001893208,0.0001540364,0.8552564,0.0165317,0.1237364,0.003586896,0.00001921404],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09469559,0.0008411567,0.8918245,0.00058637,0.00005345032,0.00003187692,0.00003006001,0.000661496,0.01127558],"genre_scores_gemma":[0.9719909,0.0003389828,0.02392665,0.0001037371,0.0000199777,0.00002873166,0.00002425927,0.00003717239,0.003529661],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001371654,"threshold_uncertainty_score":0.004588604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02973915081082226,"score_gpt":0.2397919758464041,"score_spread":0.2100528250355819,"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."}}