{"id":"W1992053203","doi":"10.1109/pdcat.2012.132","title":"TRT: Transactional Read Tracking","year":2012,"lang":"en","type":"article","venue":"","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Transactional memory; Software transactional memory; Computer science; Exploit; Consistency (knowledge bases); Commit; Transactional leadership; Overhead (engineering); Transaction processing; Distributed computing; Consistency model; Database transaction; Parallel computing; Data consistency; Operating system; Database; Computer security; Artificial intelligence; Psychology","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":[0.0001892059,0.00006209323,0.00007454966,0.00002275769,0.00006633359,0.00006908317,0.0002528149,0.00003289255,0.0001434705],"category_scores_gemma":[0.000003988435,0.00005093847,0.00004462151,0.0001479214,0.000009441597,0.0008759256,0.00001105889,0.00005772987,0.0001916879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001632487,"about_ca_system_score_gemma":0.00001346982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001859258,"about_ca_topic_score_gemma":0.000002538083,"domain_scores_codex":[0.9993423,0.00001788962,0.0001226648,0.0001200195,0.0001658339,0.0002313109],"domain_scores_gemma":[0.9996372,0.00002211116,0.00002512349,0.0001953853,0.00002906105,0.00009112594],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003716386,0.0002187434,0.002918229,0.00001681704,0.0000241472,0.000004585449,0.001254223,0.00008772377,0.001372679,0.6495597,0.009237947,0.3353015],"study_design_scores_gemma":[0.0006353626,0.00004203333,0.06638543,0.00003512897,0.000006729366,0.0001912033,0.0001134256,0.02743972,0.004238266,0.001129458,0.8992574,0.0005258439],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002097093,0.0001584403,0.9513865,0.0004262539,0.0006390268,0.00004147767,0.000002786245,0.0001440107,0.04510444],"genre_scores_gemma":[0.9889912,0.000002030244,0.008733136,0.000194887,0.0001479898,0.000005850326,0.000001625484,0.000002905125,0.001920357],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9868941,"threshold_uncertainty_score":0.2463823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02421788378726328,"score_gpt":0.2531857349727783,"score_spread":0.228967851185515,"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."}}