{"id":"W186805141","doi":"","title":"An Interactive Approach of Ontology-based Requirement Elicitation for Software Customization","year":2011,"lang":"en","type":"article","venue":"Scholarship at UWindsor (University of Windsor)","topic":"Service-Oriented Architecture and Web Services","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Requirements elicitation; Computer science; Software engineering; Ontology; Personalization; Software; Requirements analysis; Database; World Wide Web; Programming language","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":[0.0004535422,0.0001774849,0.0002804319,0.0003867685,0.000256167,0.00001882588,0.001245523,0.000160312,0.00003663021],"category_scores_gemma":[0.00002813472,0.0002037428,0.000148627,0.0004905362,0.00009527471,0.001495072,0.0001669228,0.0001585228,0.000006797137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007540263,"about_ca_system_score_gemma":0.000101432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002073057,"about_ca_topic_score_gemma":0.0003777657,"domain_scores_codex":[0.9985174,0.0001935435,0.0002245691,0.0004975431,0.0003096028,0.000257328],"domain_scores_gemma":[0.9982119,0.000122342,0.0004337518,0.0006230421,0.0004880143,0.0001209079],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01058597,0.007028653,0.4052162,0.002613398,0.001196726,0.00003975178,0.33165,0.008318799,0.1000241,0.04218296,0.0002785841,0.09086479],"study_design_scores_gemma":[0.01248081,0.004176532,0.7187924,0.0004634108,0.0004953158,0.00001955932,0.01581957,0.08761741,0.1451754,0.01127469,0.00198152,0.001703441],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.525835,0.00001948571,0.4729144,0.00009383044,0.0001056952,0.0003281135,0.00002047036,0.00008071515,0.0006022371],"genre_scores_gemma":[0.7626159,0.000001217366,0.2370909,0.0001646304,0.00001525351,0.000001930858,0.00007411205,0.000009932607,0.0000261004],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3158305,"threshold_uncertainty_score":0.8308392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03270276921304166,"score_gpt":0.239510010843564,"score_spread":0.2068072416305224,"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."}}