{"id":"W2579368542","doi":"10.14778/3025111.3025122","title":"Persistent hybrid transactional memory for databases","year":2016,"lang":"en","type":"article","venue":"Proceedings of the VLDB Endowment","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Transactional memory; Computer science; Scalability; Software transactional memory; Synchronization (alternating current); Concurrency; Implementation; Transactional leadership; Database transaction; Concurrency control; Embedded system; Operating system; Parallel computing; Database; Software engineering; Computer network","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":[0.0002413129,0.0001066188,0.0001396384,0.00003131873,0.0001092232,0.00003612321,0.0007537318,0.00001340845,0.00001031529],"category_scores_gemma":[0.00003529374,0.00005627878,0.0002028628,0.00009472694,0.00004914218,0.0003777008,0.0000956777,0.00003302552,0.000005059275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006505225,"about_ca_system_score_gemma":0.00003031036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009918944,"about_ca_topic_score_gemma":6.501664e-7,"domain_scores_codex":[0.9989791,0.000003307716,0.0002248218,0.0002699013,0.0003138307,0.0002090709],"domain_scores_gemma":[0.9993955,0.00004775052,0.0001512962,0.0001679085,0.0001834297,0.000054065],"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":[0.0001696268,0.0006929211,0.001151408,0.0006251415,0.0004005305,0.000001256997,0.0008490694,0.0000613037,0.3954638,0.3075536,0.08660363,0.2064276],"study_design_scores_gemma":[0.002942265,0.0002753564,0.001032585,0.0006292592,0.0000672767,0.0001020503,0.0002164944,0.003491095,0.7889556,0.004159562,0.1976682,0.0004602022],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1505737,0.001291212,0.7977292,0.02970052,0.003656313,0.003310418,0.001209174,0.0003608616,0.01216862],"genre_scores_gemma":[0.9943507,0.00001485557,0.004203239,0.0001102529,0.00007436444,0.0001191191,0.000001079247,0.000006215432,0.00112021],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.843777,"threshold_uncertainty_score":0.2294982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02369858873885461,"score_gpt":0.2329220493524717,"score_spread":0.2092234606136171,"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."}}