{"id":"W4237339129","doi":"10.1504/ijwgs.2020.10030150","title":"Self-healing of web service compositions: a specification rewriting approach","year":2020,"lang":"en","type":"article","venue":"International Journal of Web and Grid Services","topic":"Service-Oriented Architecture and Web Services","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Web service; Robustness (evolution); Fault tolerance; Rewriting; Distributed computing; Database; World Wide Web; Programming language","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":[0.004772499,0.0007071108,0.0006119431,0.001065711,0.0007191299,0.001668171,0.002195546,0.0009843103,0.00185979],"category_scores_gemma":[0.007978018,0.0007457255,0.00246864,0.0008304438,0.001795321,0.002053966,0.001804634,0.002237737,0.0008732761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001307049,"about_ca_system_score_gemma":0.002009581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002640387,"about_ca_topic_score_gemma":0.002498748,"domain_scores_codex":[0.9953127,0.00197995,0.0004657905,0.0005206518,0.001497403,0.0002235237],"domain_scores_gemma":[0.9939646,0.002654888,0.0004793234,0.00161208,0.001126764,0.0001624549],"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":[0.000148983,0.0002668438,0.001144174,0.0007029409,0.0001680383,0.001039322,0.002717966,0.225245,0.06363422,0.5217623,0.002405459,0.1807647],"study_design_scores_gemma":[0.0000415988,0.000167523,0.0001984852,0.0001179127,0.0001247848,0.0004672966,0.0002730207,0.8359014,0.0380178,0.09362365,0.03100311,0.00006349075],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003056407,0.00006502704,0.9952455,0.00009423386,0.00001187754,0.00007883053,0.00002521125,0.0002990699,0.001123873],"genre_scores_gemma":[0.1157732,0.0003624781,0.8792784,0.0001228083,0.00004362967,0.0002785637,0.0002261604,0.0004330534,0.00348168],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004772499,"threshold_uncertainty_score":0.02523971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01310969397498341,"score_gpt":0.2370668940489112,"score_spread":0.2239572000739278,"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."}}