{"id":"W2808068568","doi":"10.14778/3213880.3213884","title":"Morton filters","year":2018,"lang":"en","type":"article","venue":"Proceedings of the VLDB Endowment","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"","keywords":"Bloom filter; Computer science; Hash function; Filter (signal processing); Parallel computing; Set (abstract data type); Cache; Metadata; Data structure; Computer hardware; Algorithm; Operating system; Programming language","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":[0.002058511,0.0008300815,0.001251133,0.002324353,0.001715744,0.003463093,0.002631424,0.001609216,0.02364967],"category_scores_gemma":[0.01092424,0.0006563629,0.001032008,0.00271912,0.001330176,0.006438917,0.00303317,0.001430698,0.009019312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002520488,"about_ca_system_score_gemma":0.00249684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003436831,"about_ca_topic_score_gemma":0.005160859,"domain_scores_codex":[0.9968722,0.0003618011,0.0002709818,0.0004789908,0.001648803,0.0003671705],"domain_scores_gemma":[0.9935744,0.001559018,0.0004035278,0.002858461,0.001435609,0.0001689248],"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":[0.0015481,0.0002403045,0.002769473,0.0005790063,0.0001199373,0.0002347215,0.000543119,0.02303666,0.02111064,0.3014944,0.07544649,0.572877],"study_design_scores_gemma":[0.0002547693,0.0006926651,0.001270368,0.0003038435,0.0001432937,0.001093694,0.0005057782,0.2613875,0.08610728,0.2409751,0.4070747,0.0001909735],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0370978,0.002280797,0.8957016,0.001707554,0.0008435979,0.0005827004,0.003132446,0.0131947,0.04545872],"genre_scores_gemma":[0.3054922,0.001949597,0.6029725,0.001785234,0.0009097256,0.0009598236,0.006063655,0.001690534,0.07817689],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02364967,"threshold_uncertainty_score":0.07911599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01000872189597358,"score_gpt":0.2001286078380647,"score_spread":0.1901198859420911,"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."}}