{"id":"W4234352641","doi":"10.32920/14639622","title":"Renewable energy assisted traffic aware cellular base station energy cooperation","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"National Research Foundation of Korea; Ministry of Science, ICT and Future Planning; National Research Foundation","keywords":"Renewable energy; Base station; Environmental science; Grid; Computer science; Wind power; Intermittent energy source; Energy (signal processing); Engineering; Telecommunications; Distributed generation; Electrical engineering; Physics; Mathematics","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":[0.0003059489,0.000585778,0.0005236259,0.0002270386,0.0003092256,0.0006862734,0.0006931931,0.0005441396,0.001928291],"category_scores_gemma":[0.0006624411,0.000161678,0.0003424111,0.0006784206,0.0003426786,0.0004728306,0.000718258,0.0003901816,0.0002987965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005383934,"about_ca_system_score_gemma":0.0005523734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002551092,"about_ca_topic_score_gemma":0.002888963,"domain_scores_codex":[0.9997254,0.00009076362,0.000005835414,0.00004263099,0.00006889297,0.00006650973],"domain_scores_gemma":[0.9997043,0.0001408433,0.00004450627,0.00002650349,0.00006361831,0.00002021817],"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":[0.00003391833,0.0000167466,0.0002508736,0.0000190865,0.00001221583,0.00008005771,0.00001561092,0.9864339,0.00171102,0.004923312,0.0003233,0.006180031],"study_design_scores_gemma":[0.00000337054,0.00002592299,0.0001238974,0.000002075549,0.000006700186,0.00003416242,0.00001502401,0.9965637,0.0005947868,0.002187442,0.0004400472,0.000002851269],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2014212,0.0004757838,0.7714193,0.0002468661,0.00007209938,0.00006457839,0.0001520547,0.0002197669,0.02592835],"genre_scores_gemma":[0.9846502,0.0001737685,0.0120459,0.00002258339,0.00001617792,0.00002958861,0.00004276319,0.000009990992,0.003009048],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002551092,"threshold_uncertainty_score":0.006450832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01200669844506948,"score_gpt":0.2052306246463538,"score_spread":0.1932239262012843,"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."}}