{"id":"W2901676314","doi":"10.1145/3286062.3286084","title":"WiTAG","year":2018,"lang":"en","type":"article","venue":"","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Physical layer; Computer network; Leverage (statistics); Software deployment; Software; Channel (broadcasting); Protocol (science); Embedded system; Wireless; Computer hardware; Telecommunications; Operating system","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":[0.001214273,0.001370868,0.0008089071,0.00194851,0.001406279,0.003972807,0.002543625,0.002545876,0.4148642],"category_scores_gemma":[0.003203225,0.0008183697,0.0007040016,0.001493934,0.0006989071,0.004827568,0.003851723,0.001697333,0.409422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000816549,"about_ca_system_score_gemma":0.001213217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001718666,"about_ca_topic_score_gemma":0.001985012,"domain_scores_codex":[0.9986212,0.000125433,0.00008167158,0.0003108111,0.0006654683,0.0001954059],"domain_scores_gemma":[0.998154,0.0002132116,0.00009792062,0.0005977661,0.0006849277,0.0002521742],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005602362,0.0002000592,0.001534073,0.0006200008,0.00003432354,0.0004635386,0.000335183,0.0008292478,0.0126393,0.03299602,0.5177716,0.4320164],"study_design_scores_gemma":[0.0000393376,0.00006479874,0.0004583929,0.00007054138,0.00001136227,0.0003021867,0.00005891845,0.001557469,0.003630725,0.004444689,0.9893398,0.00002172938],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005005198,0.001670285,0.09301422,0.002530356,0.002389195,0.0006277008,0.01142976,0.08278339,0.8005499],"genre_scores_gemma":[0.0439504,0.001866819,0.04272965,0.001726356,0.0005454755,0.0005790257,0.03147807,0.01434533,0.8627788],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4148642,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004800933526281286,"score_gpt":0.1771015704625179,"score_spread":0.1723006369362366,"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."}}