{"id":"W3014076369","doi":"10.1109/ieeeconf44664.2019.9048950","title":"Subpacketization Level in Optimal Placement for Coded Caching with Nonuniform File Popularities","year":2019,"lang":"en","type":"article","venue":"","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Cache; Computer science; Parallel computing; Scheme (mathematics); Cache algorithms; CPU cache; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001261964,0.0006217802,0.0007913298,0.0006104088,0.0008513474,0.001243798,0.0009888983,0.0008417929,0.001509639],"category_scores_gemma":[0.01095573,0.0004915061,0.0003510535,0.001157576,0.001279793,0.002275991,0.0009019408,0.0007180523,0.0001578013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003010665,"about_ca_system_score_gemma":0.001558727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005982609,"about_ca_topic_score_gemma":0.006053779,"domain_scores_codex":[0.9989527,0.000312066,0.0000394519,0.0001505785,0.0002152404,0.0003299291],"domain_scores_gemma":[0.9937383,0.003972158,0.0007521153,0.0005606964,0.0006914092,0.0002852631],"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":[0.0003134746,0.00005312073,0.00309922,0.0000724319,0.00002188584,0.0002228148,0.0001203864,0.9570089,0.005242133,0.02173643,0.0007473349,0.01136189],"study_design_scores_gemma":[0.000008894684,0.00005167807,0.0005396109,0.000005766499,0.000009484022,0.0000597106,0.00006461491,0.9908136,0.002126869,0.006132208,0.0001781263,0.000009462394],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6192557,0.0004689065,0.3755827,0.0003353505,0.00003251604,0.00008491086,0.0001652572,0.000245035,0.00382961],"genre_scores_gemma":[0.9603526,0.0001460775,0.03850029,0.00003346183,0.00001253333,0.00004289198,0.00007935843,0.00004071743,0.0007920528],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005982609,"threshold_uncertainty_score":0.02184397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02303819582398153,"score_gpt":0.2224883612478606,"score_spread":0.1994501654238791,"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."}}