{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004535837,0.0001763749,0.0002257126,0.0001744829,0.0000885449,0.0000870834,0.001038295,0.00007839673,0.00002043203],"category_scores_gemma":[0.000002209419,0.0001358723,0.0001283658,0.0005358736,0.00001340573,0.0006606535,0.0002981285,0.00008514446,0.00001397756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001090129,"about_ca_system_score_gemma":0.00004112415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009032651,"about_ca_topic_score_gemma":0.002332851,"domain_scores_codex":[0.9985201,0.00001521481,0.0003341412,0.0003873112,0.0002755432,0.000467713],"domain_scores_gemma":[0.9988562,0.0001966232,0.0001126288,0.000603016,0.0001366892,0.00009479703],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008178451,0.003443258,0.04844887,0.005662611,0.0007085462,0.0000584776,0.05698957,0.001320393,0.1613143,0.6427786,0.003456648,0.07500091],"study_design_scores_gemma":[0.006317143,0.0009915463,0.03237561,0.0003802407,0.0001071658,0.00004592636,0.005036357,0.3349024,0.3172359,0.01721739,0.2836843,0.001706021],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2215849,0.0001601429,0.770703,0.0008444783,0.0004660757,0.0002590187,0.00002238122,0.0001755361,0.005784468],"genre_scores_gemma":[0.9213943,0.000009572739,0.07484121,0.002905116,0.0002045392,0.00001262449,0.00001573797,0.00001522772,0.0006016254],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6998094,"threshold_uncertainty_score":0.5540713,"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."}}