{"id":"W2120438786","doi":"10.1109/icst.2011.62","title":"Implementing and Evaluating a Runtime Conformance Checker for Mobile Agent Systems","year":2011,"lang":"en","type":"article","venue":"","topic":"Mobile Agent-Based Network Management","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University; Queen's University","funders":"","keywords":"Executable; Computer science; Conformance testing; Model checking; Conformance checking; Programming language; Software engineering; Set (abstract data type); Process (computing); Software; Distributed computing; Operating system; Business process; Work in process; Engineering; Business process modeling","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":[0.006981069,0.001017679,0.00106978,0.001115597,0.0007181249,0.00164783,0.002384852,0.001342185,0.001158045],"category_scores_gemma":[0.0198255,0.0005750938,0.00100761,0.0004822587,0.001429971,0.002037176,0.00143428,0.00148742,0.0003226161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001228005,"about_ca_system_score_gemma":0.002195045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00546887,"about_ca_topic_score_gemma":0.004319169,"domain_scores_codex":[0.9905303,0.003247592,0.0008178907,0.001303431,0.003414247,0.0006864484],"domain_scores_gemma":[0.9854023,0.006896837,0.001256327,0.00342156,0.002651299,0.0003716305],"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":[0.001850528,0.001781906,0.02079142,0.0006709576,0.0004802974,0.002035662,0.001053552,0.3732085,0.2342924,0.0163783,0.003440024,0.3440164],"study_design_scores_gemma":[0.0002047046,0.0005757771,0.001350869,0.00003060128,0.0001208756,0.0002692534,0.00006720957,0.9019043,0.09139757,0.002146299,0.001878336,0.00005426289],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2548746,0.0001902725,0.7087396,0.000174711,0.0001265211,0.000381341,0.0001342973,0.03338083,0.00199796],"genre_scores_gemma":[0.6343926,0.00008669445,0.3629758,0.00008960344,0.00002664835,0.0001269431,0.000275387,0.0009215575,0.001104816],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006981069,"threshold_uncertainty_score":0.03691989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06930228517301584,"score_gpt":0.2995596565170092,"score_spread":0.2302573713439933,"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."}}