{"id":"W1993910167","doi":"10.1109/iit.2007.4430375","title":"Reverse Engineering of Web Based Systems","year":2007,"lang":"en","type":"article","venue":"","topic":"Web Applications and Data Management","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Reverse engineering; Computer science; Web engineering; Web modeling; Variety (cybernetics); Key (lock); Web application; Software engineering; Web standards; Set (abstract data type); World Wide Web; Data science; Web service; Web intelligence; Computer security; Artificial 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":[0.0003003424,0.00002902771,0.00003978789,0.00006475172,0.000009910346,0.00002203026,0.0002892169,0.000009486936,0.000007250042],"category_scores_gemma":[0.000004510116,0.0000254991,0.00001198073,0.0002014486,0.000003319193,0.000101659,0.00006983294,0.00001437342,0.00002395274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009644525,"about_ca_system_score_gemma":0.00000895832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003962824,"about_ca_topic_score_gemma":0.00000198152,"domain_scores_codex":[0.999648,0.00000210449,0.0001022589,0.00009106752,0.00008282404,0.00007373535],"domain_scores_gemma":[0.9995114,0.00002388806,0.00002224726,0.0003980571,0.00001956374,0.0000248542],"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":[5.743298e-7,0.00003214069,0.0001677447,0.00004554674,0.000004969211,0.000002637274,0.000009711654,0.002883123,0.005181496,0.981778,0.006514572,0.003379523],"study_design_scores_gemma":[0.0001329018,0.00001037953,0.001365055,0.000009666267,0.000001685645,6.561694e-7,0.00001238279,0.7795715,0.003274786,0.00001739237,0.2155422,0.00006139564],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001128401,0.00001222295,0.9888147,0.00009616879,0.00007251601,0.0000717379,9.024596e-7,0.00007079192,0.009732574],"genre_scores_gemma":[0.8517768,9.180395e-7,0.1478746,0.00006328605,0.0000117438,0.000004208468,0.000001170179,0.000001630805,0.0002656039],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9817606,"threshold_uncertainty_score":0.1039823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009366442124654987,"score_gpt":0.2099600765676614,"score_spread":0.2005936344430064,"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."}}