{"id":"W2127158403","doi":"10.1109/icws.2007.152","title":"Reputation-Enhanced QoS-based Web Services Discovery","year":2007,"lang":"en","type":"article","venue":"","topic":"Service-Oriented Architecture and Web Services","field":"Computer Science","cited_by":197,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Quality of service; Service discovery; Web service; Reputation; Service (business); World Wide Web; Matching (statistics); Mobile QoS; Ranking (information retrieval); Novelty; Publication; Quality (philosophy); Service provider; Database; Information retrieval; Computer network; 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":[0.005522852,0.0004293043,0.001302246,0.001542306,0.0009240391,0.002550443,0.002296061,0.001558471,0.001147803],"category_scores_gemma":[0.01118062,0.0004957335,0.0006489878,0.001468978,0.0008238939,0.003090137,0.001646886,0.001006621,0.0009108576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00163293,"about_ca_system_score_gemma":0.00176199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003879911,"about_ca_topic_score_gemma":0.003665497,"domain_scores_codex":[0.994864,0.002068384,0.00037576,0.0004624855,0.001927715,0.000301666],"domain_scores_gemma":[0.9936454,0.002265367,0.0005988391,0.00161605,0.001582334,0.0002920196],"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":[0.001492307,0.001269,0.006182381,0.0003156001,0.0002297176,0.001114981,0.0005364419,0.3614736,0.05848388,0.1232293,0.01147216,0.4342007],"study_design_scores_gemma":[0.00005824743,0.00006684747,0.0002940745,0.000005701331,0.00003200871,0.0001700086,0.00001911244,0.9809147,0.007804282,0.007731945,0.002877192,0.00002588064],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06695921,0.0005803027,0.9155789,0.00101245,0.0001272193,0.0002678456,0.00009463735,0.004440245,0.01093915],"genre_scores_gemma":[0.7093294,0.0003526698,0.2858185,0.0001566149,0.00009525826,0.0001195385,0.000205026,0.0001025356,0.003820424],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005522852,"threshold_uncertainty_score":0.02920794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00424296152004138,"score_gpt":0.2305032710652621,"score_spread":0.2262603095452207,"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."}}