{"id":"W4240133548","doi":"10.1145/3186728.3164137","title":"Query fresh","year":2017,"lang":"en","type":"article","venue":"Proceedings of the VLDB Endowment","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Backup; Overhead (engineering); Operating system; Database; Computer network; Replication (statistics)","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":[0.002499376,0.001935225,0.001598155,0.001762956,0.001802765,0.005875465,0.003699513,0.001776102,0.1216124],"category_scores_gemma":[0.008294077,0.001033191,0.001306147,0.001736823,0.001027434,0.01116981,0.006834961,0.002309492,0.05956066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001879176,"about_ca_system_score_gemma":0.002210733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00495082,"about_ca_topic_score_gemma":0.004541157,"domain_scores_codex":[0.9961663,0.0003727746,0.0003288611,0.0009922829,0.001561787,0.0005779799],"domain_scores_gemma":[0.9936525,0.0009090312,0.0002086181,0.003230969,0.001738614,0.0002602288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001876943,0.0003013225,0.00419515,0.001568287,0.0002128518,0.0007009704,0.001129274,0.002534809,0.0292432,0.0726414,0.6012102,0.2843857],"study_design_scores_gemma":[0.0002134237,0.0002018761,0.001754602,0.0001191442,0.00009694282,0.0007441656,0.0005760755,0.01561983,0.02436176,0.02970844,0.9264618,0.000141921],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02999059,0.004618004,0.3762937,0.005284704,0.003546248,0.003150439,0.04595201,0.285895,0.2452694],"genre_scores_gemma":[0.2682771,0.003522964,0.2226349,0.01240355,0.00210002,0.001801867,0.1267866,0.05914813,0.3033248],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1216124,"threshold_uncertainty_score":0.4068339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0138162385388063,"score_gpt":0.2359611939109308,"score_spread":0.2221449553721245,"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."}}