{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005368845,0.0002689673,0.0003819548,0.0000932317,0.0001929931,0.0001974352,0.0007967054,0.0001835343,0.00003127909],"category_scores_gemma":[0.00005620439,0.0002720678,0.00009862683,0.001384227,0.00006964165,0.0004672568,0.0005089394,0.000792023,0.00002230884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000122484,"about_ca_system_score_gemma":0.00007399821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003141776,"about_ca_topic_score_gemma":0.00006467105,"domain_scores_codex":[0.997238,0.0003379999,0.0004939842,0.0008136132,0.0003586524,0.0007576822],"domain_scores_gemma":[0.9989249,0.0001839767,0.0001507882,0.0004246281,0.00006323913,0.0002525117],"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":[0.000009387477,0.00003107801,0.01307719,0.00001095383,0.000008734312,0.00007524801,0.0002070949,0.971784,0.001200371,0.006289852,0.00003214379,0.007273931],"study_design_scores_gemma":[0.0002773619,0.00004062742,0.0008938773,0.00005302537,0.000003994673,0.00001294849,0.0001207135,0.9969369,0.001091241,0.000006279551,0.0002370891,0.0003259256],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3064737,0.00006826746,0.6911647,0.000437442,0.0001939152,0.00009412731,1.324588e-7,0.0003569164,0.001210803],"genre_scores_gemma":[0.962423,0.00002423855,0.03636856,0.0008641355,0.0001819958,0.000002780583,0.000003240418,0.0000300738,0.0001019966],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6559493,"threshold_uncertainty_score":0.9999732,"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."}}