{"id":"W2102171678","doi":"10.1109/iscc.2006.135","title":"QoS-Aware Middleware for Web Services Composition - A Qualitative Approach","year":2006,"lang":"en","type":"article","venue":"","topic":"Service-Oriented Architecture and Web Services","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Web service; Middleware (distributed applications); Quality of service; WS-Addressing; WS-Policy; Context (archaeology); Publication; Mobile QoS; Service (business); World Wide Web; WS-I Basic Profile; Computer network; Database; Web modeling; Service provider; Web application security; Web development; Web intelligence; Business","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":[0.005315737,0.0006561517,0.0006812685,0.001800522,0.001235535,0.004272385,0.002688255,0.001210144,0.00240241],"category_scores_gemma":[0.006733786,0.000702709,0.001194845,0.001466729,0.004727046,0.004592789,0.002169788,0.00162641,0.0005983519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004538992,"about_ca_system_score_gemma":0.003200962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003149308,"about_ca_topic_score_gemma":0.002608771,"domain_scores_codex":[0.9971662,0.001353051,0.0001674866,0.000162887,0.001032696,0.0001177286],"domain_scores_gemma":[0.9978983,0.001115626,0.0001653555,0.0003154296,0.0004244144,0.00008075678],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002337945,0.00003551885,0.000337564,0.0003614936,0.00003727135,0.0001512765,0.001032302,0.03193633,0.002079773,0.939604,0.0008581331,0.02354292],"study_design_scores_gemma":[0.00002452863,0.00005843624,0.0001843455,0.0002458473,0.00004184087,0.0001729067,0.0008217742,0.1502739,0.0034584,0.7999699,0.04470139,0.00004673722],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002528816,0.001216747,0.980837,0.001554081,0.00009809603,0.0001146354,0.00004671835,0.0001906442,0.01341316],"genre_scores_gemma":[0.2644667,0.002969775,0.7235118,0.0004988185,0.0001004029,0.0007853236,0.0001191705,0.0001542828,0.007393647],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005315737,"threshold_uncertainty_score":0.03293288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01237915341801891,"score_gpt":0.2652991053021634,"score_spread":0.2529199518841445,"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."}}