{"id":"W4385073874","doi":"10.1007/s10270-023-01115-3","title":"An ontology-based approach to engineering ethicality requirements","year":2023,"lang":"en","type":"article","venue":"Software & Systems Modeling","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Requirements engineering; Requirements elicitation; Ontology; Requirements analysis; Requirement; Software engineering; Non-functional requirement; Requirements management; Risk analysis (engineering); Software development; Software; Software construction; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01196286,0.0008022135,0.0005774298,0.005435459,0.002760534,0.006140885,0.002365164,0.002805578,0.002764931],"category_scores_gemma":[0.01774933,0.001120775,0.002526203,0.003368847,0.00504663,0.006485673,0.005713958,0.005012812,0.0005571983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003724873,"about_ca_system_score_gemma":0.005522567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008761475,"about_ca_topic_score_gemma":0.01028439,"domain_scores_codex":[0.9852477,0.008125383,0.00124309,0.0006877176,0.00414219,0.0005539035],"domain_scores_gemma":[0.9839864,0.009058761,0.001027503,0.001994831,0.003471619,0.0004608819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001511504,0.0001244675,0.0005016578,0.0001707961,0.00004135962,0.000404482,0.003528173,0.01778375,0.002232245,0.9393029,0.002595338,0.0332997],"study_design_scores_gemma":[0.00003702437,0.00004633522,0.0006438235,0.0005428527,0.00006818162,0.0004005542,0.003804947,0.1818248,0.004481966,0.6560678,0.151976,0.0001057003],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005037972,0.000129454,0.9792401,0.002169492,0.00006965153,0.0003176921,0.0001472657,0.0001624159,0.01272593],"genre_scores_gemma":[0.07899191,0.0002532612,0.9169025,0.0003655123,0.00004474074,0.0004146842,0.0003231888,0.00009286487,0.002611325],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01196286,"threshold_uncertainty_score":0.0632664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1628226615618281,"score_gpt":0.4067684726239038,"score_spread":0.2439458110620757,"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."}}