{"id":"W2104372778","doi":"10.1109/icis.2007.28","title":"A Matrix Algorithm forWeb Cache Pre-fetching","year":2007,"lang":"en","type":"article","venue":"","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"","keywords":"Computer science; Cache; Cache algorithms; Cache-oblivious algorithm; Smart Cache; Algorithm; Scheme (mathematics); Cache invalidation; Simple (philosophy); Parallel computing; Matrix (chemical analysis); CPU cache","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":[0.0006325352,0.00009961954,0.0000997653,0.00009829411,0.0001202162,0.0001472709,0.0005644592,0.00004539251,0.00001599929],"category_scores_gemma":[0.00001723893,0.00008381712,0.00008316472,0.0002069395,0.00001174496,0.0003641694,0.0002106831,0.0001421528,0.0000890299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003796276,"about_ca_system_score_gemma":0.00002798656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004452087,"about_ca_topic_score_gemma":0.00006291331,"domain_scores_codex":[0.9989891,0.00002037437,0.0001772399,0.0002670514,0.0002328224,0.0003134212],"domain_scores_gemma":[0.9993331,0.00009333772,0.00003852096,0.0003952821,0.00003946753,0.000100331],"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":[0.000007144682,0.00007293908,0.0006953081,0.000007098422,0.00002937666,0.00009855862,0.0009163063,0.00007626798,0.002245223,0.04421101,0.003059801,0.948581],"study_design_scores_gemma":[0.000827879,0.0001514205,0.005402397,0.0000336248,0.0000160501,0.0002119069,0.0002347165,0.9649449,0.003448064,0.005160535,0.01895063,0.0006178459],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03256872,0.0001498767,0.9556881,0.0003380667,0.0004250147,0.00007313328,6.080271e-7,0.0003654528,0.01039103],"genre_scores_gemma":[0.8617242,0.000005670135,0.1272748,0.0006812729,0.0001537418,0.000002562636,0.000001140749,0.000008234003,0.01014844],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9648687,"threshold_uncertainty_score":0.3417963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009496566433781372,"score_gpt":0.2630839853199554,"score_spread":0.253587418886174,"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."}}