{"id":"W2023794939","doi":"10.1109/tsc.2013.20","title":"Constructing a Global Social Service Network for Better Quality of Web Service Discovery","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Services Computing","topic":"Service-Oriented Architecture and Web Services","field":"Computer Science","cited_by":86,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Computer science; Web service; World Wide Web; Service (business); Service design; Service discovery; Service level objective; Social network (sociolinguistics); Service delivery framework; Business; Social media; Marketing","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005219775,0.0005276499,0.0007232287,0.0001440722,0.0008968639,0.0004983821,0.001896323,0.000243202,0.00002798736],"category_scores_gemma":[0.000001336392,0.0005198753,0.0003391138,0.002209252,0.00005391035,0.001435956,0.00006260513,0.0003906687,0.00005236504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001113267,"about_ca_system_score_gemma":0.0001403285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004688769,"about_ca_topic_score_gemma":0.00852395,"domain_scores_codex":[0.9961171,0.0002727256,0.00111278,0.0009453242,0.0006188136,0.0009333112],"domain_scores_gemma":[0.9969185,0.0006075138,0.0007134357,0.0007964461,0.0007886566,0.0001754635],"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":[0.0007181847,0.001826374,0.01152828,0.01322648,0.002319145,0.00001120236,0.03079793,0.2256184,0.0149289,0.03572198,0.0003667623,0.6629363],"study_design_scores_gemma":[0.004092366,0.0002704694,0.009979119,0.0008305243,0.000191314,0.00005221566,0.006430253,0.9600723,0.006068488,0.009651971,0.0006103098,0.001750687],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4482791,0.00002565316,0.5463853,0.002902923,0.0009842666,0.0005430168,0.00008947928,0.0002958686,0.0004943885],"genre_scores_gemma":[0.9195932,0.000001875029,0.06622761,0.01357917,0.0004712839,0.00005912899,0.00002241279,0.00003619724,0.000009154182],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7344539,"threshold_uncertainty_score":0.9997253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01909038331524103,"score_gpt":0.2718709132904562,"score_spread":0.2527805299752151,"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."}}