{"id":"W2151187218","doi":"10.1109/wpc.2001.921727","title":"Reverse engineering meets data analysis","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Online analytical processing; Reverse engineering; Computer science; Software engineering; Visualization; Sophistication; Aggregate (composite); Data visualization; Data science; Software; Data warehouse; Database; Data mining; 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":[],"consensus_categories":[],"category_scores_codex":[0.0001092366,0.00006482579,0.0001119696,0.0000954197,0.0000367264,0.0000297146,0.0006093102,0.0000144245,0.0001815138],"category_scores_gemma":[0.00003660392,0.00005372674,0.00002927334,0.000668928,0.000006417007,0.00106325,0.0004998978,0.00003519375,0.0001180343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007555961,"about_ca_system_score_gemma":0.000002415438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006005023,"about_ca_topic_score_gemma":0.00003273415,"domain_scores_codex":[0.99932,0.000008768843,0.0001156946,0.0003023585,0.000121441,0.0001316907],"domain_scores_gemma":[0.9982435,0.0000270161,0.00002533808,0.001635432,0.00001577108,0.00005298636],"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":[7.345173e-7,0.00005879143,0.0006050949,0.00003010659,0.0004783132,0.00009795559,0.0003925377,0.008784438,0.0008409914,0.8982377,0.06349012,0.02698319],"study_design_scores_gemma":[0.00003304855,0.000002876837,0.00009732501,0.000002456673,0.00001451378,0.000003315535,0.000005669222,0.6326374,0.00007918922,0.000006899869,0.3670433,0.00007403147],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001074303,0.0001632801,0.9966838,0.0004182924,0.0001006899,0.00002883336,0.00001909208,0.0001663783,0.002312168],"genre_scores_gemma":[0.06127977,0.00004004787,0.935747,0.0001756548,0.00005304333,0.000002879917,0.0000298031,0.000004695956,0.002667107],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8982309,"threshold_uncertainty_score":0.2190913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05332572069950131,"score_gpt":0.2387372777560849,"score_spread":0.1854115570565836,"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."}}