{"id":"W4414272463","doi":"10.1109/ichms65439.2025.11154176","title":"CacheMamba: Popularity Prediction for Mobile Edge Caching Networks via Selective State Spaces","year":2025,"lang":"en","type":"article","venue":"","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Popularity; Enhanced Data Rates for GSM Evolution; Latency (audio); Mobile edge computing; Benchmark (surveying); Mobile device; Edge device; State (computer science)","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":[0.0003637797,0.000137448,0.0001665948,0.0001055977,0.0003085536,0.0001987659,0.0003476987,0.00006894803,0.000001478873],"category_scores_gemma":[0.00002726496,0.0001263849,0.0001024119,0.0003252861,0.00001835716,0.0003958239,0.0001614889,0.0002035066,0.000002431948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001099681,"about_ca_system_score_gemma":0.0000583265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009211851,"about_ca_topic_score_gemma":0.0002389734,"domain_scores_codex":[0.9989195,0.0000592372,0.0001915995,0.0004165485,0.0001191351,0.0002939229],"domain_scores_gemma":[0.9993321,0.0001194535,0.00005639802,0.0003108743,0.0001257286,0.00005546772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002869825,0.0008713176,0.04847107,0.000235198,0.000817056,0.00002184403,0.002925386,0.3608153,0.008649651,0.07170939,0.06872784,0.436469],"study_design_scores_gemma":[0.0003751068,0.0001138868,0.001811178,0.00002642263,0.00001931413,0.000004179266,0.00004251274,0.9920771,0.0009432386,0.003068486,0.001372589,0.0001459864],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04099477,0.0003128976,0.9553344,0.0002343273,0.0008683738,0.0004285589,0.000005910287,0.0003720434,0.00144867],"genre_scores_gemma":[0.9928738,0.00001464339,0.003312434,0.0003527762,0.00007912885,0.0001189453,0.00001056292,0.000006512971,0.003231137],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.952022,"threshold_uncertainty_score":0.5153826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008274963799450853,"score_gpt":0.2377912540961097,"score_spread":0.2295162902966588,"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."}}