{"id":"W4281747308","doi":"10.1109/icaccs54159.2022.9785010","title":"Review on Energy Harvesting Techniques for Future Wireless Generation Networks","year":2022,"lang":"en","type":"article","venue":"2022 8th International Conference on Advanced Computing and Communication Systems (ICACCS)","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Energy harvesting; Wireless; Computer science; Wireless sensor network; Wireless network; Key distribution in wireless sensor networks; Energy consumption; Energy (signal processing); Efficient energy use; Computer network; Electrical engineering; Telecommunications; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006682565,0.0002766236,0.0003355589,0.0001407796,0.0006261013,0.000159049,0.0007631906,0.00008208968,0.0000215039],"category_scores_gemma":[0.00004434123,0.0003068785,0.00007035339,0.0002421732,0.00003641091,0.0001331215,0.0002424612,0.000554478,0.000001048342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000234537,"about_ca_system_score_gemma":0.00002827788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002553345,"about_ca_topic_score_gemma":0.00001332778,"domain_scores_codex":[0.9981129,0.0003127969,0.000600802,0.0003832486,0.0003367613,0.000253486],"domain_scores_gemma":[0.9984241,0.0003199071,0.0003285842,0.0006040427,0.0002487958,0.00007456857],"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":[0.00001921778,0.00003492938,0.00001981683,0.0001112546,0.00005027332,9.270166e-7,0.00005875822,0.6243654,0.0003833869,0.1884307,0.002760945,0.1837643],"study_design_scores_gemma":[0.0002394459,0.00009642272,0.00001898914,0.001507772,0.00001075281,0.0000187108,0.0001630897,0.9185948,0.00009696325,0.0001339768,0.07882671,0.000292336],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02917593,0.08650352,0.8211304,0.005036311,0.01088817,0.002986965,0.0002196684,0.004369142,0.03968988],"genre_scores_gemma":[0.9800676,0.01360874,0.002897947,0.0009659724,0.0006474944,0.0007605766,0.0005751483,0.00006546544,0.0004110815],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9508916,"threshold_uncertainty_score":0.9999383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03197508934333329,"score_gpt":0.2811697587000671,"score_spread":0.2491946693567338,"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."}}