{"id":"W2140232791","doi":"10.1145/1693453.1693496","title":"Towards scalable and transparent parallelization of multiplayer games using transactional memory support","year":2010,"lang":"en","type":"article","venue":"","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Transactional memory; Software transactional memory; Computer science; Scalability; Lock (firearm); Transactional leadership; Parallel computing; Software; Distributed computing; Computer architecture; Programming language; Operating system; Database transaction","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":[0.0001612106,0.00008529822,0.0001445718,0.0000413255,0.00005275453,0.00004534505,0.0001760615,0.00006095563,0.0001140552],"category_scores_gemma":[0.000004605362,0.00007236472,0.00003868717,0.0001230835,0.00004212775,0.0003667748,0.00001201498,0.00007582227,0.000002305443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006614872,"about_ca_system_score_gemma":0.00006593038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001561677,"about_ca_topic_score_gemma":0.00006320181,"domain_scores_codex":[0.9992069,0.00001544518,0.0002293582,0.0002083893,0.0002069637,0.0001329516],"domain_scores_gemma":[0.999597,0.00001428831,0.00005513135,0.0001795954,0.00008653084,0.0000674216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009820297,0.0009832503,0.01604509,0.0005746183,0.0001966132,0.00002959922,0.005975141,0.03128845,0.5281828,0.09903099,0.002151413,0.3154438],"study_design_scores_gemma":[0.00121547,0.00007162856,0.02395585,0.00003542129,0.00001612384,0.00008861302,0.00008926023,0.9159117,0.0520443,0.0004194833,0.005828578,0.0003236054],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1563006,0.00002773175,0.8415834,0.000132613,0.0003087058,0.00009102123,0.00001340532,0.00003895444,0.001503479],"genre_scores_gemma":[0.9639981,0.000006979169,0.03572554,0.00004064972,0.00002460114,0.000004153735,0.000005042703,0.000003844782,0.0001910811],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8846232,"threshold_uncertainty_score":0.2950948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02657940520419108,"score_gpt":0.2686872640475938,"score_spread":0.2421078588434027,"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."}}