{"id":"W1609271133","doi":"10.1007/978-3-642-16599-3_14","title":"Event Exposure for Web Services: A Grey-Box Approach to Compose and Evolve Web Services","year":2010,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Service-Oriented Architecture and Web Services","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Web service; Adaptability; Services computing; Service-oriented architecture; Flexibility (engineering); World Wide Web; Web modeling; Mashup; WS-Policy; Web development; Component-based software engineering; Software engineering; Service (business); Rich Internet application; The Internet; Software; Web application security; Software system; Operating system","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","scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.001069623,0.001226525,0.001106149,0.001376917,0.0006856095,0.001383602,0.006811977,0.0007657756,0.00001037114],"category_scores_gemma":[0.0000100562,0.001061124,0.0002676745,0.001117051,0.0003801583,0.000959452,0.003393463,0.001321828,0.00003469389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001405084,"about_ca_system_score_gemma":0.0006033382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001254549,"about_ca_topic_score_gemma":0.002257962,"domain_scores_codex":[0.9929878,0.00006097918,0.000918708,0.003282838,0.001413087,0.001336638],"domain_scores_gemma":[0.9950633,0.0005582115,0.0005086115,0.002521709,0.0006659058,0.0006822345],"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":[0.0003932187,0.001051074,0.001562485,0.009804898,0.0004218375,0.0001977076,0.06764974,0.04138313,0.03964546,0.06250666,0.00005909761,0.7753247],"study_design_scores_gemma":[0.001887702,0.0009984863,0.0004044223,0.001817738,0.00008480164,0.0002824681,0.00001561203,0.886,0.002581381,0.06777216,0.03548911,0.002666086],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007885042,0.001319709,0.9814521,0.00163411,0.002534981,0.002225323,0.00009215664,0.0004272121,0.00242938],"genre_scores_gemma":[0.2962947,0.00005453165,0.6887026,0.01325533,0.001226992,0.0001412765,0.00006948312,0.0001177953,0.0001372733],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8446169,"threshold_uncertainty_score":0.999653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008949053594957648,"score_gpt":0.2265125177353016,"score_spread":0.2175634641403439,"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."}}