{"id":"W2023163864","doi":"10.1186/s13677-015-0032-x","title":"MapReduce for parallel trace validation of LTL properties","year":2015,"lang":"en","type":"article","venue":"Journal of Cloud Computing Advances Systems and Applications","topic":"Formal Methods in Verification","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Computer science; TRACE (psycholinguistics); Cloud computing; Process (computing); Variety (cybernetics); Execution time; Parallel computing; Distributed computing; Theoretical computer science; Programming language; Artificial intelligence; Operating system","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":[0.001249996,0.00008276613,0.0002303263,0.0000729159,0.00009451574,0.0000764506,0.0004003567,0.00003560007,6.208541e-8],"category_scores_gemma":[0.0001016891,0.00006645403,0.00004823415,0.0001941091,0.00004777239,0.0004208192,0.00004352825,0.00007567722,5.579342e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003203443,"about_ca_system_score_gemma":0.00008121695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004354597,"about_ca_topic_score_gemma":1.013691e-7,"domain_scores_codex":[0.9988171,0.00008436206,0.000631044,0.0001365314,0.000221428,0.0001095562],"domain_scores_gemma":[0.9979435,0.0001123386,0.001004757,0.0002198436,0.0006396293,0.00007994929],"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":[0.00008452052,0.0002695257,0.0005606768,0.0008567114,0.00007331941,5.252997e-7,0.003635424,0.2605349,0.007776912,0.5287706,0.0006490904,0.1967878],"study_design_scores_gemma":[0.001901982,0.0009277013,0.0003650151,0.0006663246,0.00006842577,0.0004281228,0.002407198,0.7774877,0.02747265,0.02459736,0.1632082,0.0004692977],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02865824,0.005296962,0.9648507,0.0001493155,0.0004837847,0.0003962409,0.000001473575,0.00002148806,0.0001417637],"genre_scores_gemma":[0.5640093,0.00004284074,0.4355839,0.000006106907,0.0002984369,0.00002442421,3.952572e-7,0.000004707414,0.00002995558],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.535351,"threshold_uncertainty_score":0.2709917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06970177536661169,"score_gpt":0.3266746498857332,"score_spread":0.2569728745191215,"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."}}