{"id":"W2400133291","doi":"","title":"Robust concurrency control in main-memory DBMS: What main memory giveth, the application taketh away.","year":2014,"lang":"en","type":"article","venue":"Very Large Data Bases","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Concurrency control; Multiversion concurrency control; Non-lock concurrency control; Concurrency; Database; Optimistic concurrency control; Memory management; Distributed concurrency control; Parallel computing; Programming language; Operating system; Database transaction; Overlay","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":[0.002458649,0.0002604309,0.0003660843,0.00008964975,0.0002385793,0.0005458048,0.003013921,0.0001059726,0.00003525372],"category_scores_gemma":[0.0002536797,0.0001992632,0.00006261361,0.0005065601,0.0001011645,0.002444535,0.0005519386,0.000291854,0.0001492314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000064857,"about_ca_system_score_gemma":0.0001426839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000274458,"about_ca_topic_score_gemma":0.0005256052,"domain_scores_codex":[0.9971336,0.0004977112,0.0004988267,0.0008759934,0.0004330328,0.0005608531],"domain_scores_gemma":[0.9959404,0.0006230848,0.0002330356,0.003012757,0.00007429891,0.0001164426],"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":[0.0001335218,0.001522653,0.003580573,0.0004599122,0.0001615178,0.0001834511,0.001553247,0.00488682,0.00220381,0.09917124,0.4819439,0.4041994],"study_design_scores_gemma":[0.002330725,0.00005487871,0.002481906,0.000246073,0.00002253952,0.00003807161,0.0006860857,0.6262369,0.0001271081,0.0004552014,0.3668339,0.0004866209],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003435135,0.002186651,0.9875183,0.001722318,0.001049328,0.0007568942,0.002601953,0.000142328,0.000587063],"genre_scores_gemma":[0.9936885,0.0001848714,0.001095637,0.002961618,0.0003643695,0.0001524161,0.001380181,0.00002040368,0.0001519771],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9902534,"threshold_uncertainty_score":0.8125716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02795687589826629,"score_gpt":0.2522051176409221,"score_spread":0.2242482417426558,"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."}}