{"id":"W2172293999","doi":"10.1145/378580.378604","title":"Automatable verification of sequential consistency","year":2001,"lang":"en","type":"article","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Undecidable problem; Sequential consistency; Computer science; Consistency model; Consistency (knowledge bases); Decidability; Class (philosophy); Protocol (science); Task (project management); Theoretical computer science; State (computer science); Formal verification; Finite-state machine; Model checking; Programming language; Multiprocessing; Parallel computing; Artificial intelligence; Correctness","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":[0.0001307929,0.00004116049,0.00006672244,0.00005563969,0.00004206613,0.00002849917,0.0003040352,0.00002428463,0.0000347563],"category_scores_gemma":[0.00001517487,0.00003821096,0.00002373058,0.0002366425,0.00002114563,0.000177805,0.0000596676,0.00002368735,0.00001662373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000908427,"about_ca_system_score_gemma":0.00003729059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003541218,"about_ca_topic_score_gemma":8.463829e-7,"domain_scores_codex":[0.9995266,0.00002353904,0.0001482459,0.0001252462,0.00009453658,0.00008184563],"domain_scores_gemma":[0.9995213,0.00001672938,0.00006136139,0.0002970152,0.00008103243,0.00002261895],"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":[0.000005658429,0.0001535211,0.002096799,0.00001731698,0.00001733662,0.00000606515,0.0002930818,0.005212083,0.006112268,0.9346283,0.01162202,0.03983556],"study_design_scores_gemma":[0.0001833117,0.000054511,0.001622433,0.00001279687,0.000002890135,0.00002858712,0.000007888462,0.9480763,0.03535416,0.005524391,0.008996697,0.0001360204],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002700383,0.00003320107,0.9443847,0.0001970928,0.0000659963,0.00004430793,1.900336e-7,0.0004922716,0.05208184],"genre_scores_gemma":[0.6286163,0.00002173402,0.3704719,0.00006656469,0.000007952759,0.000002026902,0.000001399703,0.00000170199,0.0008104434],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9428642,"threshold_uncertainty_score":0.1558198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02604205129317929,"score_gpt":0.2713485114170733,"score_spread":0.245306460123894,"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."}}