{"id":"W2091978961","doi":"10.1145/568760.568801","title":"Design of knowledge-based systems with the ontology-domain-system approach","year":2002,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Computer science; Ontology; Unified Modeling Language; Software engineering; Domain engineering; Reuse; Process ontology; Ontology-based data integration; Domain knowledge; Feature-oriented domain analysis; Upper ontology; Domain analysis; Suggested Upper Merged Ontology; Domain model; Software development; Programming language; Software; Software construction; Engineering","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":[0.0004594177,0.0001326256,0.0002546943,0.00006364119,0.0001042682,0.00006255122,0.001038019,0.0000620746,0.000004453195],"category_scores_gemma":[0.000008483065,0.00006419125,0.00003775449,0.000316731,0.0001392898,0.000093273,0.00006202648,0.00007268254,0.00003762079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002924608,"about_ca_system_score_gemma":0.00004237532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000506809,"about_ca_topic_score_gemma":0.000009943223,"domain_scores_codex":[0.9988222,0.0002737181,0.0001963455,0.0002739464,0.0001920826,0.0002417605],"domain_scores_gemma":[0.9986786,0.000353528,0.000103394,0.0007292719,0.00009779063,0.00003743458],"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":[0.00006002089,0.0007765438,0.002972883,0.0007368492,0.0002376216,0.00006020159,0.008204503,0.02154316,0.0007506041,0.9344041,0.02428081,0.005972686],"study_design_scores_gemma":[0.0006114417,0.0002368506,0.0004446292,0.00004300907,0.00001448263,0.0001009956,0.00162992,0.9950282,0.0007151238,0.00004083709,0.0009658528,0.0001686463],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001254903,0.0009831418,0.949662,0.0004223062,0.0001561106,0.0003479346,1.886372e-7,0.0002289816,0.0469444],"genre_scores_gemma":[0.90802,0.000001186914,0.09122477,0.00004874782,0.00002260877,0.00004579518,1.425118e-7,0.000005237458,0.0006315691],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9734851,"threshold_uncertainty_score":0.2617643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04645686346020569,"score_gpt":0.2140230666991912,"score_spread":0.1675662032389856,"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."}}