{"id":"W7067646203","doi":"","title":"MARIO: Multi-Agent Resilience Framework for Network Slicing in Tactical Networks","year":2025,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Resilience (materials science); Key (lock); Work (physics); Slicing; Context (archaeology); Focus (optics)","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":[0.001057262,0.0009660757,0.0009976465,0.0007142067,0.0008772042,0.001859496,0.001938911,0.001456292,0.007908081],"category_scores_gemma":[0.00245407,0.0004476251,0.0008423533,0.000562016,0.001119282,0.001866141,0.002782694,0.001562997,0.0006924404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001226157,"about_ca_system_score_gemma":0.001698401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00818832,"about_ca_topic_score_gemma":0.007800518,"domain_scores_codex":[0.9996069,0.0001442436,0.00001441246,0.00007577098,0.00008346373,0.00007521646],"domain_scores_gemma":[0.999356,0.000255408,0.00008745788,0.00008166653,0.0001086052,0.0001108546],"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":[0.00004270647,0.00001935226,0.0002117915,0.00007432565,0.00003411015,0.00008716433,0.00006910341,0.7694178,0.0007138095,0.2127735,0.003639508,0.01291673],"study_design_scores_gemma":[0.000007393678,0.000009755801,0.0000377304,0.00001179099,0.000008662339,0.00001117831,0.00001727082,0.9487938,0.0001357149,0.04837698,0.002584319,0.000005370895],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007830567,0.0003389837,0.9767798,0.000717155,0.0001303709,0.00005364329,0.0001991452,0.0008823993,0.01306804],"genre_scores_gemma":[0.7220666,0.00072406,0.2586884,0.0003048796,0.0001973001,0.000320973,0.0004338998,0.0005071172,0.01675678],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00818832,"threshold_uncertainty_score":0.02645516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02465417675154757,"score_gpt":0.2354285678844395,"score_spread":0.2107743911328919,"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."}}