{"id":"W4380227955","doi":"10.1007/s12243-023-00967-6","title":"Introduction to the special issue: 5+G network energy consumption, energy efficiency and environmental impact","year":2023,"lang":"en","type":"article","venue":"Annals of Telecommunications","topic":"Green IT and Sustainability","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Environmental economics; Greenhouse gas; Electricity; Fossil fuel; Consumption (sociology); Energy consumption; Natural resource economics; Cloud computing; Order (exchange); Agricultural economics; Economics; Engineering; Computer science; Waste management","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001689384,0.002718149,0.002517071,0.002967921,0.001432584,0.00566585,0.00215199,0.005606978,0.04903564],"category_scores_gemma":[0.005471752,0.0007120255,0.001672495,0.002205948,0.001087784,0.003850288,0.001698531,0.008139101,0.02671147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001535921,"about_ca_system_score_gemma":0.001801493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00178755,"about_ca_topic_score_gemma":0.003316293,"domain_scores_codex":[0.9989133,0.0001322681,0.0001231781,0.0002683554,0.0004411894,0.0001217654],"domain_scores_gemma":[0.9950295,0.001671746,0.0004347017,0.0002287122,0.00182216,0.0008131787],"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":[0.00001651416,0.00002210494,0.00008945249,0.0001915745,0.000007665961,0.000042328,0.000006321231,0.0000871134,0.0001077786,0.0008638192,0.9859577,0.01260757],"study_design_scores_gemma":[0.000007407108,0.00005281114,0.0009771852,0.000383466,0.00001922955,0.0002044787,0.00003657399,0.0002326535,0.0000967518,0.002214596,0.9957575,0.0000174479],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0002368189,0.02637855,0.0009541531,0.02769234,0.9316611,0.00002836613,0.0003487088,0.00009050797,0.01260933],"genre_scores_gemma":[0.00125321,0.02022415,0.0003431606,0.01313089,0.9322512,0.00003544431,0.0003486614,0.0001390773,0.03227416],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.04903564,"threshold_uncertainty_score":0.1640406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01739212186938166,"score_gpt":0.2702325502217477,"score_spread":0.2528404283523661,"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."}}