{"id":"W4385270603","doi":"10.1109/icde55515.2023.00076","title":"SASPAR: Shared Adaptive Stream Partitioning","year":2023,"lang":"en","type":"article","venue":"","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Stream processing; Partition (number theory); Heuristics; Latency (audio); Distributed computing; Data stream; Query plan; Bandwidth (computing); Throughput; Parallel computing; Computer network; Search engine; Operating system; Sargable","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001063435,0.00005646676,0.00006015084,0.00006675945,0.0001050171,0.0001263925,0.0002822663,0.00001904541,0.00004647404],"category_scores_gemma":[0.00001560914,0.00005067899,0.00004276609,0.0003371117,0.00000961924,0.0003076015,0.0001508052,0.00005500751,0.001081125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000143674,"about_ca_system_score_gemma":0.00002004912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001298167,"about_ca_topic_score_gemma":0.00003256393,"domain_scores_codex":[0.9993881,0.00002051802,0.00008107418,0.0001988565,0.000136497,0.0001749505],"domain_scores_gemma":[0.9996134,0.00005429026,0.000018688,0.0002315221,0.00003217691,0.00004991728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001849094,0.0001055919,0.005761467,0.0000109548,0.00009609264,0.0002241996,0.002210436,0.004170421,0.003891762,0.6086355,0.2407798,0.1340952],"study_design_scores_gemma":[0.000329581,0.0001077092,0.01288302,0.00003643487,0.000005066788,0.0000095701,0.0003476637,0.9745707,0.0008762067,0.007025952,0.003537456,0.0002706425],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2601628,0.000110457,0.6283764,0.00453558,0.001191204,0.0002287325,0.00001373691,0.005244765,0.1001364],"genre_scores_gemma":[0.992844,0.000005705279,0.001689861,0.0002888323,0.00004181482,0.00001059952,0.0000056221,0.000003474207,0.005110074],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9704003,"threshold_uncertainty_score":0.9996967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04336431057814042,"score_gpt":0.2404583809533032,"score_spread":0.1970940703751628,"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."}}