{"id":"W2015918750","doi":"10.1109/srds.2011.13","title":"Transaction Models for Massively Multiplayer Online Games","year":2011,"lang":"en","type":"article","venue":"","topic":"Peer-to-Peer Network Technologies","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of Toronto","funders":"","keywords":"Computer science; Atomicity; Consistency (knowledge bases); Leverage (statistics); Distributed computing; Fault tolerance; Database transaction; Database; Artificial intelligence","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":[0.00009747116,0.000124315,0.0001287369,0.0001299157,0.00005588979,0.0000367283,0.0008697418,0.00009193904,0.00001275101],"category_scores_gemma":[0.00001910441,0.0001043655,0.00006450282,0.0002413117,0.00002345691,0.0005387462,0.00008765933,0.00008200379,0.00002365472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002776647,"about_ca_system_score_gemma":0.00002108333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004709511,"about_ca_topic_score_gemma":0.00008231856,"domain_scores_codex":[0.9990477,0.000009297716,0.0001602783,0.0003548605,0.0001363585,0.0002915042],"domain_scores_gemma":[0.9993058,0.00004793113,0.00003754554,0.0004521474,0.00009382523,0.00006270799],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000701217,0.0003822414,0.0001150517,0.00001987821,0.00006286557,0.0000102869,0.002343131,0.009043567,0.003313147,0.159089,0.01356736,0.8119833],"study_design_scores_gemma":[0.0004041752,0.0002030709,0.0008368426,0.00001133642,0.000006757286,0.000006856228,0.00009584104,0.9149739,0.02605483,0.05295647,0.00418271,0.0002671703],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008342329,0.00002296635,0.9864354,0.001733025,0.0002270617,0.0003034314,0.00000807277,0.001093238,0.001834498],"genre_scores_gemma":[0.4625554,0.000004460553,0.5362576,0.0002967276,0.00001717885,0.00004357827,0.00000116466,0.000006439965,0.0008174472],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9059304,"threshold_uncertainty_score":0.42559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08691870318472701,"score_gpt":0.2623981683896493,"score_spread":0.1754794652049223,"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."}}