{"id":"W2090011393","doi":"10.1145/1755913.1755919","title":"Transactional memory support for scalable and transparent parallelization of multiplayer games","year":2010,"lang":"en","type":"article","venue":"","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Software transactional memory; Computer science; Transactional memory; Scalability; Parallel computing; Lock (firearm); Transactional leadership; Software; Programming paradigm; Programming language; Operating system; Database transaction","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004189883,0.0003901286,0.000363576,0.0001744197,0.0004463726,0.0009122955,0.001229172,0.0004407176,0.002445964],"category_scores_gemma":[0.003049538,0.0002364125,0.0002554164,0.0003872983,0.0004885922,0.001453718,0.0008993025,0.00103335,0.0002475808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002261759,"about_ca_system_score_gemma":0.0004357221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007437879,"about_ca_topic_score_gemma":0.0009961392,"domain_scores_codex":[0.9996018,0.0001199315,0.00002338362,0.0000425313,0.0001345545,0.0000778625],"domain_scores_gemma":[0.9987709,0.0006410877,0.0001032909,0.0002514643,0.0001643591,0.00006884308],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001748083,0.000857473,0.007224726,0.0007232614,0.0001935167,0.001217438,0.001287008,0.3075247,0.2503594,0.1640247,0.006072183,0.2587675],"study_design_scores_gemma":[0.0001431247,0.000315475,0.0008816029,0.00001731719,0.00004552353,0.0002450106,0.0001548795,0.9188022,0.05254321,0.02083165,0.005999925,0.00002007609],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4593619,0.000874355,0.5254891,0.0003903976,0.0001127633,0.0001267268,0.00004839536,0.001558362,0.01203801],"genre_scores_gemma":[0.9453173,0.0002096466,0.05268836,0.00003583017,0.00003120067,0.00006641274,0.00004175143,0.00008741912,0.00152206],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002445964,"threshold_uncertainty_score":0.008182585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01777614487547916,"score_gpt":0.2568079452592444,"score_spread":0.2390318003837653,"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."}}