{"id":"W3022527159","doi":"10.1109/twc.2020.2989319","title":"Uplink Resource Allocation in Energy Harvesting Cellular Network With H2H/M2M Coexistence","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina; Memorial University of Newfoundland; Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Telecommunications link; Computer network; Cellular network; Resource management (computing); Resource allocation; Energy harvesting; Energy (signal processing)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001990061,0.0003494552,0.0003444342,0.0001321613,0.0004370779,0.0000940945,0.001101049,0.0001986212,0.00001526101],"category_scores_gemma":[0.000009765358,0.0003927866,0.00008059409,0.001390467,0.0002217748,0.0002758223,0.00001209506,0.0009637078,0.0000216724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001366198,"about_ca_system_score_gemma":0.00005425744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002066491,"about_ca_topic_score_gemma":0.001483334,"domain_scores_codex":[0.9980953,0.0002123126,0.0005699283,0.0003852555,0.0002467976,0.0004904131],"domain_scores_gemma":[0.9975856,0.0005441626,0.0000937458,0.001471069,0.000083986,0.0002214285],"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":[0.0000227023,0.00007676654,0.00005133891,0.00003498776,0.00005273121,0.000005762366,0.0004759286,0.9798008,0.001542125,0.001583203,0.0001514108,0.01620222],"study_design_scores_gemma":[0.0004540947,0.00007576452,0.00008044348,0.0003841782,0.00004682305,0.000008838113,0.0001255877,0.9878418,0.005203009,0.00002863804,0.005295141,0.0004556121],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01757925,0.00074113,0.9752945,0.001423382,0.0001458813,0.0002288832,0.00001213529,0.001109715,0.003465131],"genre_scores_gemma":[0.9823465,0.0006974444,0.0158442,0.0004329328,0.0001039357,0.0002676265,0.00005357811,0.0001302535,0.0001235085],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9647673,"threshold_uncertainty_score":0.9998524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02613651585751878,"score_gpt":0.217463786568956,"score_spread":0.1913272707114373,"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."}}