{"id":"W4402124114","doi":"10.1007/978-981-97-5204-1_8","title":"Delivery Networks with Shared Caches and Correlated Content","year":2024,"lang":"en","type":"book-chapter","venue":"Studies in computational intelligence","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Content (measure theory); Content delivery; Computer network; Mathematics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002121584,0.0004079035,0.0004760869,0.000266439,0.000130288,0.000168488,0.0004665306,0.0001493998,0.000008883614],"category_scores_gemma":[0.00002577386,0.0003418807,0.00008893781,0.0001313368,0.0003906711,0.0001945155,0.000651943,0.0006514712,0.00005691242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000178601,"about_ca_system_score_gemma":0.00008395284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004906151,"about_ca_topic_score_gemma":0.00009590833,"domain_scores_codex":[0.9980477,0.00002110794,0.0004877567,0.0007964486,0.000392245,0.0002547037],"domain_scores_gemma":[0.998373,0.0007527134,0.0001525541,0.0002591736,0.0003924787,0.00007011008],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005081681,0.00002279013,0.00009762377,0.0001307248,0.000698114,0.0006822455,0.001419503,0.3170772,5.047522e-7,0.6570589,0.001111434,0.0216502],"study_design_scores_gemma":[0.0001515398,0.000240164,0.00009303053,0.002712531,0.00007662066,0.0002068965,0.0003307513,0.8684559,0.000001557467,0.1256545,0.00138682,0.0006896198],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0007370717,0.1721176,0.7641729,0.001578637,0.00361519,0.000984947,0.0000637095,0.0006165777,0.05611338],"genre_scores_gemma":[0.8280799,0.01023021,0.009379532,0.001026265,0.0003124378,0.00007335366,0.00008756478,0.00010344,0.1507072],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8273429,"threshold_uncertainty_score":0.9999033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1233469116439569,"score_gpt":0.2911870806369424,"score_spread":0.1678401689929855,"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."}}