{"id":"W2401673269","doi":"10.11575/prism/1113","title":"Complete framework for memory consistency with applications to the itanium architecture","year":2007,"lang":"en","type":"article","venue":"PRISM (University of Calgary)","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Consistency model; Sequential consistency; Memory model; Consistency (knowledge bases); Programming language; Parallel computing; Shared memory; 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":[0.0002539083,0.00007631342,0.0001140764,0.00009312381,0.000323689,0.00001787277,0.000820499,0.0000518195,0.000003638253],"category_scores_gemma":[0.00001534032,0.00006576318,0.00005326097,0.000306834,0.00008650582,0.00005725328,0.0001567775,0.0001201162,0.000005715778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001987348,"about_ca_system_score_gemma":0.00004379107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004383155,"about_ca_topic_score_gemma":0.00001208316,"domain_scores_codex":[0.9993764,0.00002304096,0.00008081956,0.0002120318,0.0001439403,0.0001637577],"domain_scores_gemma":[0.9990486,0.0002364402,0.00008716395,0.0004376989,0.0001139382,0.00007615302],"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":[0.00009161362,0.000089541,0.0001121242,0.00003858496,0.00005692479,0.000007737558,0.004380358,0.0006684918,0.0001390453,0.5554769,0.004398151,0.4345405],"study_design_scores_gemma":[0.001429772,0.0008980822,0.008994654,0.0001854132,0.0001038791,0.00005133224,0.0004634962,0.3182984,0.001237649,0.1073,0.5600006,0.001036668],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001677558,0.00004747285,0.9914223,0.003269621,0.00002771683,0.0005275382,6.168102e-7,0.0001721277,0.004364872],"genre_scores_gemma":[0.01357953,0.000003777249,0.9856772,0.0004320733,0.00001327414,0.000001938688,0.000002778813,0.000004557648,0.0002848406],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5556024,"threshold_uncertainty_score":0.2681745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01442832115166823,"score_gpt":0.2268178057249838,"score_spread":0.2123894845733156,"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."}}