{"id":"W4246898356","doi":"10.5539/mas.v12n11p376","title":"Web Services Composition Using Dynamic Classification and Simulated Annealing","year":2018,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Service-Oriented Architecture and Web Services","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Web service; Service-oriented architecture; Computer science; Services computing; WS-Policy; Business Process Execution Language; Software architecture; Service composition; WS-Addressing; Architecture; WS-I Basic Profile; Database; World Wide Web; Differentiated service; Service (business); Distributed computing; Web modeling; Software; Service delivery framework; Service design; Operating system; Web development; Web application security; Web intelligence; Business","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003924964,0.0001712334,0.0001374257,0.0002639221,0.0008853711,0.0004696091,0.001130045,0.00006008963,0.000002520261],"category_scores_gemma":[0.000001017863,0.0001581862,0.00001823765,0.001238171,0.0003415277,0.0007431559,0.0004269164,0.0001114271,0.00002026118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006183648,"about_ca_system_score_gemma":0.00009512369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006762399,"about_ca_topic_score_gemma":0.00007790038,"domain_scores_codex":[0.9981077,0.0000232605,0.0002163082,0.0007768826,0.000470823,0.0004050816],"domain_scores_gemma":[0.9989352,0.00003612543,0.0001350682,0.0005662797,0.0001817046,0.0001456504],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000009480864,0.00001818456,0.0002106978,0.00002374891,0.000003350216,7.678046e-7,0.003489458,0.001487991,0.9824233,0.004234835,2.557329e-7,0.008097953],"study_design_scores_gemma":[0.0002219833,0.00002734403,0.003343862,0.00003033237,0.000006645652,0.00001142891,0.0001346579,0.9785556,0.01224242,0.005193458,0.00004307738,0.0001892203],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.644742,0.00003883026,0.3537296,0.0001617668,0.0001233542,0.0001396816,0.000001578381,0.0001698026,0.000893389],"genre_scores_gemma":[0.9733068,0.000004188688,0.02572177,0.0008941679,0.00005317185,0.000003271512,0.000004527193,0.000009282686,0.000002818058],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9770676,"threshold_uncertainty_score":0.6809648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01324391184900456,"score_gpt":0.2633669621550884,"score_spread":0.2501230503060838,"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."}}