{"id":"W2055100117","doi":"10.1109/mpot.2013.2245946","title":"Green Computing and Communication Techniques for Future Wireless Systems and Networks","year":2013,"lang":"en","type":"article","venue":"IEEE Potentials","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Upload; Wireless; Cloud computing; Pace; The Internet; Mobile device; Internet access; Wireless broadband; Broadband; Mobile broadband; Wireless network; Mobile computing; Telecommunications; Multimedia; Computer network; World Wide Web; Operating system","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":[],"consensus_categories":[],"category_scores_codex":[0.0004955807,0.0001314931,0.0002127178,0.00006123494,0.0003582164,0.0005008518,0.0004192282,0.0001085232,2.088781e-7],"category_scores_gemma":[0.000005356349,0.0001198755,0.00003210509,0.0001081961,0.00004771112,0.0003566426,0.0002485722,0.0001097457,0.000001997647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001255986,"about_ca_system_score_gemma":0.00001014654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003407047,"about_ca_topic_score_gemma":0.000002209401,"domain_scores_codex":[0.9990184,0.00009642016,0.0002614105,0.0002669383,0.00009666116,0.0002601937],"domain_scores_gemma":[0.9991214,0.0001499354,0.0001541567,0.0003659341,0.0001360998,0.00007245156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004680754,0.00003575507,0.001008055,0.0002184455,0.00005740682,0.000001996887,0.001573054,0.0001771205,0.003647978,0.004855636,0.01701775,0.9714021],"study_design_scores_gemma":[0.0002123969,0.00004939344,0.002360668,0.0001524894,0.00001294294,0.00004150394,0.00006620977,0.9914644,0.0008785617,0.001602265,0.002904299,0.0002548979],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1227866,0.001490809,0.8714715,0.0007250903,0.002611775,0.0005916528,2.424112e-7,0.000231516,0.00009079071],"genre_scores_gemma":[0.962305,0.0001063746,0.03492122,0.0001640741,0.002396249,0.00003059218,0.000003502193,0.00001383247,0.00005917062],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9912872,"threshold_uncertainty_score":0.4888381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01247121652077787,"score_gpt":0.2451914313372563,"score_spread":0.2327202148164784,"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."}}