{"id":"W2136293626","doi":"10.1145/568235.568238","title":"A collaborative demonstration of reverse engineering tools","year":2002,"lang":"en","type":"article","venue":"ACM SIGAPP Applied Computing Review","topic":"Software Engineering Techniques and Practices","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Toronto","funders":"","keywords":"Reverse engineering; Benchmarking; Business process reengineering; Computer science; Session (web analytics); Software engineering; Process (computing); Event (particle physics); Engineering management; Systems engineering; Engineering; Manufacturing engineering; World Wide Web","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":[0.000562938,0.0001782752,0.0003618823,0.00006654168,0.00005424569,0.00007119662,0.0009629886,0.00005818086,0.00002140264],"category_scores_gemma":[0.0005528208,0.0001752269,0.00006666775,0.0009344005,0.00001690553,0.0002876406,0.0002911283,0.0001865784,0.00002951901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002708376,"about_ca_system_score_gemma":0.00001974403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001984738,"about_ca_topic_score_gemma":8.0795e-8,"domain_scores_codex":[0.9987919,0.00003517463,0.0004346347,0.000302412,0.0002293576,0.0002065629],"domain_scores_gemma":[0.9979261,0.0007997371,0.0002784489,0.0008359605,0.00009998032,0.00005973693],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001823879,0.00007469514,0.00004246701,0.002118864,0.00006324088,0.00001135701,0.0004069914,0.002846224,0.001558947,0.0822821,0.01343104,0.8971623],"study_design_scores_gemma":[0.001294542,0.0005242772,0.001005743,0.01654458,0.0003181794,0.0002212775,0.00004855524,0.3795881,0.0228166,0.003150752,0.5715067,0.002980611],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0006566815,0.02967893,0.9647213,0.0008041517,0.0001468976,0.0007178797,0.000002002254,0.0008554294,0.002416722],"genre_scores_gemma":[0.305063,0.01044204,0.6837607,0.000580772,0.00007205037,0.00004192724,0.000003370444,0.00002074813,0.00001538038],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8941817,"threshold_uncertainty_score":0.7145544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0254275348610996,"score_gpt":0.2573216679962426,"score_spread":0.231894133135143,"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."}}