{"id":"W4408218751","doi":"10.1145/3721143","title":"Memory Consistency and Program Transformations","year":2025,"lang":"en","type":"article","venue":"Formal Aspects of Computing","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Theory of computation; Sequential consistency; Consistency (knowledge bases); Computer science; Consistency model; Programming language; Causal consistency; Parallel computing; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002884241,0.0001024924,0.0001744669,0.0001931743,0.0002390593,0.00008675492,0.0003668689,0.00004390044,0.000001476623],"category_scores_gemma":[0.00003143432,0.00009918294,0.00005108009,0.0004349871,0.00006790745,0.000424667,0.0002092372,0.0001039631,0.00000158733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000131094,"about_ca_system_score_gemma":0.00008460761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007405192,"about_ca_topic_score_gemma":0.000001212306,"domain_scores_codex":[0.9991205,0.00003132316,0.0003388976,0.0001687058,0.0001205104,0.0002201097],"domain_scores_gemma":[0.9994224,0.00008927104,0.0001075638,0.0002174867,0.0001230264,0.00004026224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002700059,0.00007751314,0.0001046755,0.00009711098,0.00002170594,0.000001520051,0.000821407,0.003038013,0.00003568211,0.5818114,0.000243289,0.4137449],"study_design_scores_gemma":[0.0004249476,0.0001536189,0.003065842,0.0002105961,0.0000100605,0.00001864953,0.00007100995,0.9681674,0.006674735,0.02041779,0.000610488,0.0001749072],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01429699,0.0002707224,0.8837326,0.000345514,0.0001091957,0.0002345942,5.002083e-7,0.0006165647,0.1003933],"genre_scores_gemma":[0.7636626,0.00001376273,0.2361751,0.00009578556,0.00001020825,0.000003196202,0.000001257694,0.000002376822,0.00003573764],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9651294,"threshold_uncertainty_score":0.4044563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009103749864728304,"score_gpt":0.2683146532359275,"score_spread":0.2592109033711992,"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."}}