{"id":"W4243336379","doi":"10.32920/ryerson.14643960.v1","title":"QoS-based semantic web service selection","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Service-Oriented Architecture and Web Services","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Web service; Quality of service; Social Semantic Web; Semantic Web; Service (business); Semantic Web Stack; Mobile QoS; Context (archaeology); World Wide Web; Database; Distributed computing; Computer network; Service delivery framework","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":[0.002040518,0.0007555975,0.0007994373,0.001371344,0.001255798,0.002618863,0.001120864,0.001094256,0.0024903],"category_scores_gemma":[0.00356458,0.0003397559,0.000976208,0.001454888,0.001048392,0.003028824,0.001666452,0.001030609,0.001322491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001125366,"about_ca_system_score_gemma":0.00162828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001995513,"about_ca_topic_score_gemma":0.001471204,"domain_scores_codex":[0.9970355,0.0007296223,0.0002119171,0.0003923421,0.001331503,0.000299131],"domain_scores_gemma":[0.9985649,0.0004585773,0.0001249811,0.0002846391,0.0004715147,0.00009535916],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007449391,0.0004755325,0.005052234,0.0006270896,0.0001586552,0.001416775,0.0008879068,0.1393543,0.06470174,0.3696164,0.01239194,0.4045725],"study_design_scores_gemma":[0.00006306649,0.0000978978,0.0009603112,0.00006798802,0.00007032812,0.0004875677,0.0002713864,0.7854519,0.03083234,0.1382115,0.04342356,0.00006215747],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04294144,0.0008755739,0.9311703,0.0009103048,0.0002065767,0.0003190537,0.0001994418,0.002592627,0.02078461],"genre_scores_gemma":[0.7213216,0.001010404,0.2687487,0.0002683922,0.0001441521,0.0002450778,0.0006807673,0.0003299974,0.007250845],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002618863,"threshold_uncertainty_score":0.01079142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01234069528735177,"score_gpt":0.2377000063624319,"score_spread":0.2253593110750801,"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."}}