{"id":"W4240851185","doi":"10.1007/978-3-642-27848-8_607-1","title":"Transactional Memory","year":2015,"lang":"en","type":"book-chapter","venue":"Encyclopedia of Algorithms","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Transactional memory; Computer science; Database; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003643081,0.001238758,0.0008733557,0.001472659,0.0007227048,0.003860254,0.001753469,0.0008881455,0.1036463],"category_scores_gemma":[0.001177129,0.0005850075,0.0004215174,0.003773409,0.0006806328,0.004355789,0.001418592,0.001748991,0.07059478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005822071,"about_ca_system_score_gemma":0.0009622992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006300488,"about_ca_topic_score_gemma":0.001127921,"domain_scores_codex":[0.9996161,0.00003469748,0.00003235022,0.00008380476,0.0002000518,0.00003294623],"domain_scores_gemma":[0.9995388,0.0001032623,0.00002381057,0.0001473203,0.0001506333,0.00003622399],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005089934,0.00004561125,0.00009813135,0.0006530505,0.00002207662,0.00006714191,0.0001701572,0.0009569309,0.004055686,0.1052887,0.2656612,0.6229305],"study_design_scores_gemma":[0.000008013308,0.00002275999,0.0001145744,0.0002040594,0.00001374518,0.0002664863,0.00003226989,0.001235345,0.001576101,0.03851253,0.9579995,0.00001458751],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.002498974,0.1022155,0.1825273,0.002328687,0.005694869,0.0002313817,0.00251691,0.006787305,0.6951991],"genre_scores_gemma":[0.02182366,0.04123757,0.05584906,0.001415538,0.001853775,0.0002161107,0.004304041,0.001720535,0.8715796],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.1036463,"threshold_uncertainty_score":0.3467314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02210301758359371,"score_gpt":0.2418736888112772,"score_spread":0.2197706712276835,"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."}}