{"id":"W2144404894","doi":"10.5772/33586","title":"Software Reverse Engineering in the Domain of Complex Embedded Systems","year":2012,"lang":"en","type":"book-chapter","venue":"InTech eBooks","topic":"Software Engineering Techniques and Practices","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Reverse engineering; Computer science; Domain (mathematical analysis); Software engineering; Domain engineering; Software; Embedded system; Software system; Operating system; Software construction; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072557,0.0008001987,0.0007062764,0.001351504,0.0004594511,0.001933079,0.0008465202,0.001098513,0.006023002],"category_scores_gemma":[0.002051583,0.0005385915,0.0008893205,0.002167935,0.001114722,0.002659129,0.001291584,0.002510871,0.004479651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006051352,"about_ca_system_score_gemma":0.0009861412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006090379,"about_ca_topic_score_gemma":0.0009410635,"domain_scores_codex":[0.9990733,0.0001471989,0.00006024915,0.0001043667,0.0005703442,0.00004452588],"domain_scores_gemma":[0.9986485,0.0009039911,0.00006164487,0.0001289958,0.0002318135,0.00002513935],"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":[0.00001812615,0.0000503325,0.000156483,0.003771939,0.00004650971,0.0003612994,0.0005773174,0.006780127,0.006211724,0.1803955,0.03647254,0.7651581],"study_design_scores_gemma":[0.00000909412,0.00006333144,0.000276669,0.001339977,0.00003254072,0.002041012,0.0001253909,0.006042556,0.004650296,0.1341415,0.8512351,0.00004253738],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"methods","genre_scores_codex":[0.004545301,0.5551245,0.3479796,0.00268154,0.002730373,0.0000992304,0.0001215785,0.001092727,0.08562512],"genre_scores_gemma":[0.0380322,0.6616353,0.1957529,0.001835821,0.002044786,0.000170067,0.0004566673,0.0007118101,0.09936045],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.006023002,"threshold_uncertainty_score":0.02014893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03514428031617187,"score_gpt":0.2517825663951921,"score_spread":0.2166382860790203,"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."}}