{"id":"W4292588363","doi":"","title":"Poster: Privacy-Aware Decentralized Multi-Slice Traffic Forecasting","year":2022,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Computer science; Computer network; Information privacy; Computer security","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":[0.001750531,0.0009350806,0.001159177,0.0004460561,0.000895018,0.001770044,0.001057023,0.00144719,0.007827523],"category_scores_gemma":[0.004907268,0.0003914314,0.000492845,0.0006570285,0.0004856856,0.002095784,0.001682669,0.002052035,0.00167563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008421407,"about_ca_system_score_gemma":0.00119242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001848929,"about_ca_topic_score_gemma":0.002259766,"domain_scores_codex":[0.9991491,0.0002298532,0.00003427578,0.0002726403,0.0001919547,0.0001221285],"domain_scores_gemma":[0.9972177,0.001076129,0.00009718843,0.0007251284,0.0006284201,0.0002554258],"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":[0.004148464,0.0003691404,0.003889656,0.0003238533,0.0002665767,0.000451997,0.0002097723,0.4215166,0.03555669,0.05042492,0.1581419,0.3247005],"study_design_scores_gemma":[0.00003312035,0.00006394175,0.0005554365,0.00001468337,0.00002187318,0.00007023718,0.0000391025,0.9680383,0.006547204,0.01823824,0.006358969,0.00001889835],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05649364,0.002505574,0.9053359,0.009715721,0.00635338,0.0001683801,0.001583881,0.003346256,0.01449726],"genre_scores_gemma":[0.876056,0.001022558,0.09660055,0.0009034748,0.002812389,0.00007301495,0.001458554,0.000272654,0.02080074],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007827523,"threshold_uncertainty_score":0.02618569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02400868967731424,"score_gpt":0.230842776320182,"score_spread":0.2068340866428678,"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."}}