{"id":"W2161381723","doi":"10.1016/j.comnet.2006.08.003","title":"Towards a classification of web service feature interactions","year":2006,"lang":"en","type":"article","venue":"Computer Networks","topic":"Service-Oriented Architecture and Web Services","field":"Computer Science","cited_by":54,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Web service; Feature (linguistics); Benchmark (surveying); Scope (computer science); WS-Policy; Domain (mathematical analysis); Set (abstract data type); Service (business); Web modeling; Web standards; World Wide Web; Data mining; Web application security; Web development","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000113765,0.0001950654,0.0002153088,0.0001506699,0.0001124788,0.0001314894,0.001117649,0.0001063642,0.00001035304],"category_scores_gemma":[6.603621e-7,0.0001750114,0.00009842071,0.001089797,0.00002151098,0.0003667083,0.0003742027,0.0002833688,0.0000200908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002690845,"about_ca_system_score_gemma":0.00005665962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001871732,"about_ca_topic_score_gemma":0.000662138,"domain_scores_codex":[0.9986951,0.00007820196,0.0002928804,0.0004200831,0.0002277367,0.0002860176],"domain_scores_gemma":[0.9986543,0.00009157034,0.0002000811,0.0007339336,0.0002493409,0.00007078951],"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":[0.00007160646,0.0008480159,0.00530711,0.0002908542,0.0002136042,0.00003630904,0.002795747,0.2314585,0.003983081,0.2280819,0.06247691,0.4644364],"study_design_scores_gemma":[0.0002677463,0.00003858539,0.02896252,0.00007067815,0.00001241533,0.00002653596,0.00001296293,0.9276674,0.0001773267,0.001396812,0.04118484,0.0001821568],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01960472,0.0002935639,0.9682861,0.004519018,0.001487084,0.0001623888,0.000003127118,0.000283126,0.00536088],"genre_scores_gemma":[0.9226357,0.00001019306,0.07371595,0.002303762,0.001172848,0.00001545784,0.00004965004,0.00001568764,0.00008073224],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.903031,"threshold_uncertainty_score":0.713676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01019402495724596,"score_gpt":0.2299238686659457,"score_spread":0.2197298437086998,"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."}}