{"id":"W2147045827","doi":"10.1007/s00165-005-0082-9","title":"A formal approach to property testing in causally consistent distributed traces","year":2006,"lang":"en","type":"article","venue":"Formal Aspects of Computing","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Computer Research Institute of Montréal","funders":"","keywords":"TRACE (psycholinguistics); Computer science; Theory of computation; Automaton; Property (philosophy); Consistency (knowledge bases); Model checking; Causality (physics); Theoretical computer science; Programming language; Event (particle physics); Formal methods; 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":[0.0007309545,0.0002359653,0.0004312113,0.0001501873,0.0001854753,0.0001770495,0.0007883508,0.00007203308,6.144837e-7],"category_scores_gemma":[0.00009062229,0.000178466,0.00008237796,0.001107654,0.00004238042,0.0008786272,0.000435888,0.0001975632,0.000007300355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000877518,"about_ca_system_score_gemma":0.0001233161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006670601,"about_ca_topic_score_gemma":0.00006813064,"domain_scores_codex":[0.9974482,0.0000532922,0.0008362115,0.0004302798,0.0004217841,0.0008102427],"domain_scores_gemma":[0.9989037,0.00009934792,0.000294241,0.0003608899,0.0002322816,0.0001095432],"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":[0.00008097616,0.001802475,0.02293202,0.0008032296,0.00006361063,0.0001527581,0.002868305,0.3917389,0.003862706,0.4872485,0.001148271,0.08729822],"study_design_scores_gemma":[0.0009919007,0.0002484196,0.09706724,0.0003449619,0.000005741801,0.0001294741,0.0001807273,0.8977798,0.001219533,0.0006512326,0.0009291566,0.0004517776],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2616299,0.00006705917,0.7049472,0.0001151706,0.0001575625,0.0004635698,0.00002247394,0.0001688023,0.03242825],"genre_scores_gemma":[0.9419752,1.44074e-7,0.05781081,0.00004436584,0.00009686445,0.00001087442,0.00002203028,0.00001006365,0.0000295868],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6803454,"threshold_uncertainty_score":0.727763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01893584562270784,"score_gpt":0.2239879715953384,"score_spread":0.2050521259726305,"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."}}