{"id":"W3012550338","doi":"10.14778/3389133.3389134","title":"Dash","year":2020,"lang":"en","type":"article","venue":"Proceedings of the VLDB Endowment","topic":"Advanced Data Storage Technologies","field":"Computer Science","cited_by":135,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Hash function; Scalability; Emulation; Hash table; Factor (programming language); Double hashing; Table (database)","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":[0.00007203795,0.0000934175,0.0001155613,0.0000264413,0.00005675162,0.00004124529,0.002319901,0.00002752929,0.000004226365],"category_scores_gemma":[0.0002050888,0.00006256819,0.0000497191,0.0004225217,0.00007289151,0.000439658,0.001797208,0.0001153019,0.00001879037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003003384,"about_ca_system_score_gemma":0.00001177812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002610886,"about_ca_topic_score_gemma":1.164684e-7,"domain_scores_codex":[0.9991623,0.000001513839,0.0001537922,0.0002530019,0.0002625879,0.0001668248],"domain_scores_gemma":[0.9995285,0.00001435676,0.0001436229,0.0002039782,0.00006704888,0.00004251173],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000009833822,0.00005757588,0.001500656,0.00009057555,0.00002969021,0.000001509741,0.001278287,0.00003327442,0.1765566,0.7617239,0.02259623,0.03612184],"study_design_scores_gemma":[0.0003344827,0.0001359461,0.0005142897,0.00003400526,0.000008792299,0.000008631237,0.0002381814,0.002446759,0.9199743,0.04287207,0.03324641,0.0001861637],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2572214,0.001645049,0.3888936,0.2632277,0.001684886,0.003401158,0.00005580996,0.006458937,0.07741145],"genre_scores_gemma":[0.9240246,0.00002126965,0.07505194,0.0007989347,0.00002745344,0.00001913702,1.603173e-7,0.000005905706,0.0000505319],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7434176,"threshold_uncertainty_score":0.4310992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02138445553614614,"score_gpt":0.2242101176233977,"score_spread":0.2028256620872516,"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."}}