{"id":"W2138766604","doi":"10.1109/re.2006.33","title":"Incorporating Goal Analysis in Database Design: A Case Study from Biological Data Management","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Stakeholder; Conceptual schema; Schema (genetic algorithms); Database schema; Goal modeling; Tracing; Database design; Process management; Software engineering; Data science; Database; Management science; Requirements analysis; Engineering; Information retrieval; Programming language; Software","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":[0.001476079,0.0001626165,0.0002756756,0.0002963962,0.00005919624,0.0000908704,0.001447282,0.00003586998,0.000007004565],"category_scores_gemma":[0.0002086399,0.0001312065,0.00002747932,0.001589475,0.0000269329,0.0005780543,0.002393613,0.0001302958,0.000006197207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004519896,"about_ca_system_score_gemma":0.00001107939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002756375,"about_ca_topic_score_gemma":0.0008511494,"domain_scores_codex":[0.9979783,0.0004272322,0.0003459757,0.0008381805,0.0001767117,0.0002335487],"domain_scores_gemma":[0.9968699,0.001137532,0.00007582812,0.001861493,0.00001744873,0.00003775163],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000014926,0.0007435058,0.09033269,0.000007160918,0.0003540836,0.03748781,0.0002614577,0.8411989,0.0002332677,0.003761153,0.0001791503,0.0254259],"study_design_scores_gemma":[0.001106627,0.0001765533,0.0619176,0.00001216755,0.0001789683,0.0001090177,0.001955457,0.9186864,0.0001603664,0.01493497,0.00003291373,0.0007289195],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1155209,0.00005182287,0.8836457,0.00001964383,0.00006558058,0.0002716963,0.00001611259,0.0003713915,0.00003719996],"genre_scores_gemma":[0.4387069,0.00000129378,0.5611939,0.00001471096,0.00001498552,0.00001504073,0.00003922739,0.000003052218,0.00001083242],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.323186,"threshold_uncertainty_score":0.5350446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1806424995624475,"score_gpt":0.3546512560784441,"score_spread":0.1740087565159966,"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."}}