{"id":"W4312833690","doi":"10.1109/ficloud57274.2022.00031","title":"Verifying Timed Commitment Specifications for IoT-Cloud Systems with Uncertainty","year":2022,"lang":"en","type":"article","venue":"","topic":"Formal Methods in Verification","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Cloud computing; Scalability; Model checking; Distributed computing; Reliability (semiconductor); Set (abstract data type); Transformation (genetics); Temporal logic; Internet of Things; Model transformation; Software engineering; Embedded system; Theoretical computer science; Database; Consistency (knowledge bases); Artificial intelligence; Programming language; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00594704,0.0009706052,0.0008504956,0.0009116629,0.001137217,0.002633384,0.00222823,0.001331481,0.002959432],"category_scores_gemma":[0.02207651,0.0007793274,0.002798822,0.000878743,0.003286357,0.003274939,0.002650516,0.002446156,0.0003390405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002834563,"about_ca_system_score_gemma":0.005006898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01094971,"about_ca_topic_score_gemma":0.009184274,"domain_scores_codex":[0.9923897,0.002007363,0.0006721664,0.00102308,0.00317142,0.0007361326],"domain_scores_gemma":[0.9807138,0.01284077,0.00180976,0.002355608,0.001978737,0.0003013054],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004888613,0.000219214,0.002881445,0.0003764436,0.0001636737,0.00106802,0.0009533152,0.6126835,0.0213165,0.3358875,0.001368438,0.02259306],"study_design_scores_gemma":[0.00009259835,0.0000710632,0.00016984,0.00003603296,0.00004442413,0.00008461995,0.0001279596,0.9138535,0.01966495,0.06383374,0.001990977,0.00003047411],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06104854,0.00005121193,0.9344028,0.000300563,0.00004681618,0.0002273321,0.0003649488,0.001624091,0.001933729],"genre_scores_gemma":[0.7699254,0.0001159416,0.2262531,0.0002001641,0.00002822726,0.0004778537,0.0008499038,0.0003704666,0.001778906],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01094971,"threshold_uncertainty_score":0.03145134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09184743074219678,"score_gpt":0.2917466613605452,"score_spread":0.1998992306183484,"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."}}