{"id":"W4401509246","doi":"10.1109/iccworkshops59551.2024.10615577","title":"Energy-Efficient Robotic Airborne Base Stations Deployment and Operation for Sustainable 6G Networks","year":2024,"lang":"en","type":"article","venue":"","topic":"Satellite Communication Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Software deployment; Base station; Computer science; Environmental science; Base (topology); Energy (signal processing); Sustainable energy; Efficient energy use; Renewable energy; Telecommunications; Engineering; Electrical 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":[],"consensus_categories":[],"category_scores_codex":[0.0001920449,0.00009007899,0.00008359591,0.00008988813,0.00008529854,0.0001958788,0.00006875608,0.00003863593,0.00002972916],"category_scores_gemma":[0.00000977546,0.00008471355,0.00002359055,0.0001673369,0.00001123818,0.0001128555,0.00002835017,0.00004765347,0.000007095568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001163843,"about_ca_system_score_gemma":0.00001904867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005098109,"about_ca_topic_score_gemma":0.00003176582,"domain_scores_codex":[0.9994145,0.00002355706,0.0001888894,0.0001288562,0.00006646984,0.0001777526],"domain_scores_gemma":[0.9994866,0.0001560977,0.000007502648,0.0002267167,0.00006887301,0.00005419557],"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":[0.000001211001,0.00000897115,0.000006820188,0.0001030458,0.00002205476,0.000001543264,0.0001806136,0.9286854,0.00009583036,0.06294885,0.001756245,0.006189421],"study_design_scores_gemma":[0.0001018012,0.00001402986,0.00004267871,0.00002558773,0.00001273989,0.000002752084,0.000489018,0.9590027,0.0003773706,0.0000929251,0.0397422,0.00009624664],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001901166,0.01221018,0.9827502,0.0002048274,0.0001904104,0.0003570988,0.000002007629,0.0005213386,0.001862817],"genre_scores_gemma":[0.993716,0.0004554553,0.002627974,0.00004330147,0.00005608725,0.0002632225,0.00004838071,0.00003610825,0.002753442],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9918149,"threshold_uncertainty_score":0.3454518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01592516545746224,"score_gpt":0.2399272522065158,"score_spread":0.2240020867490536,"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."}}