{"id":"W4283830182","doi":"","title":"Research Efforts in Mobile Edge Network Environments","year":2022,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Opportunistic and Delay-Tolerant Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Enhanced Data Rates for GSM Evolution; Computer science; Telecommunications","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":[0.001900822,0.0008338852,0.0006240202,0.00258098,0.001189977,0.0040356,0.001410246,0.001898486,0.006477149],"category_scores_gemma":[0.005356867,0.0004577767,0.0005650796,0.005807279,0.001270188,0.00738462,0.002007293,0.001945911,0.002319443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001579167,"about_ca_system_score_gemma":0.001847092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001940565,"about_ca_topic_score_gemma":0.001367109,"domain_scores_codex":[0.9987782,0.0002968054,0.00004840108,0.0003313913,0.0003517776,0.0001933803],"domain_scores_gemma":[0.9964482,0.001777827,0.0001743884,0.0003557191,0.0009841099,0.000259787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001226249,0.0001857927,0.002943621,0.00192787,0.00005797451,0.0005228475,0.001172956,0.01272422,0.004175976,0.4134143,0.02092952,0.5418222],"study_design_scores_gemma":[0.00002032071,0.0002042531,0.002025905,0.001402195,0.00007309533,0.001328604,0.002282981,0.03412331,0.00578262,0.1342733,0.818426,0.0000572585],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.04075782,0.4784952,0.2133418,0.0255515,0.004241731,0.0002773771,0.0005145735,0.0005577344,0.2362622],"genre_scores_gemma":[0.2992319,0.5339563,0.0997203,0.005030119,0.004640291,0.0002310899,0.001221759,0.0002451018,0.05572326],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006477149,"threshold_uncertainty_score":0.0216682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02893705148276766,"score_gpt":0.2716455599020187,"score_spread":0.2427085084192511,"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."}}