{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001797334,0.00008346685,0.00009061399,0.00004460922,0.0001071295,0.00006684242,0.001035112,0.00002051676,0.000008296882],"category_scores_gemma":[0.0000299788,0.00005508871,0.00008409826,0.0001951277,0.00007233072,0.0002174992,0.0004460116,0.0000676652,0.00002374366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003330027,"about_ca_system_score_gemma":0.00001357182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005886834,"about_ca_topic_score_gemma":0.000001262857,"domain_scores_codex":[0.9992096,0.000003035753,0.0001430652,0.0001986209,0.0002737326,0.00017189],"domain_scores_gemma":[0.9995279,0.00001155167,0.0001092227,0.0001732701,0.0001387829,0.00003930272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005027951,0.0002719008,0.01402862,0.00009096422,0.0001379688,0.000001430934,0.004108235,0.0000121762,0.6333644,0.2407513,0.07091645,0.03626622],"study_design_scores_gemma":[0.0009502899,0.0005167682,0.008445333,0.0002346831,0.00004051519,0.00004764572,0.0002902196,0.01561662,0.9419585,0.01382,0.01765152,0.0004279481],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.958019,0.00007770697,0.001561543,0.003208141,0.0009426959,0.0002370856,0.000001487893,0.0001398304,0.03581256],"genre_scores_gemma":[0.9972854,0.000007276546,0.001285057,0.000429597,0.00009697863,0.000009719462,6.960008e-8,0.000004358458,0.0008815897],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.308594,"threshold_uncertainty_score":0.2246452,"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."}}