{"id":"W2108801178","doi":"10.1109/icws.2007.197","title":"WSCE: A Crawler Engine for Large-Scale Discovery of Web Services","year":2007,"lang":"en","type":"article","venue":"","topic":"Service-Oriented Architecture and Web Services","field":"Computer Science","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Web crawler; Web service; World Wide Web; Computer science; WS-I Basic Profile; WS-Policy; Web modeling; Web standards; Web development; Web application security; Web intelligence","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":[0.002042313,0.001028765,0.001203461,0.003183829,0.0009651383,0.002010321,0.00192711,0.001166632,0.002001218],"category_scores_gemma":[0.007243502,0.0008798275,0.001005937,0.002293815,0.0005756154,0.003028432,0.001770183,0.001413935,0.002161319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006269143,"about_ca_system_score_gemma":0.002068346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006613961,"about_ca_topic_score_gemma":0.007044777,"domain_scores_codex":[0.9979523,0.0002664558,0.0002263258,0.0002399862,0.001190821,0.0001241311],"domain_scores_gemma":[0.9966282,0.00113392,0.000206022,0.0009920815,0.000825304,0.0002143357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007044449,0.0005325425,0.009236055,0.001347529,0.0005481477,0.001205542,0.001434487,0.02593883,0.08306749,0.03361093,0.08888537,0.7534887],"study_design_scores_gemma":[0.0002074636,0.0002423708,0.00432652,0.0001190749,0.0001612843,0.001483887,0.000244058,0.7087311,0.104229,0.01242541,0.1676183,0.000211543],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01728727,0.0003734021,0.8352016,0.0001920744,0.00009938714,0.0005858017,0.0009164867,0.1419585,0.003385477],"genre_scores_gemma":[0.1062839,0.0006944541,0.868228,0.0002401151,0.0000485612,0.0005792115,0.00876538,0.007649143,0.007511225],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006613961,"threshold_uncertainty_score":0.01315093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004832904592468959,"score_gpt":0.233153296508243,"score_spread":0.228320391915774,"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."}}