{"id":"W2166752908","doi":"10.1017/s0269888902000358","title":"UML for ontology development","year":2002,"lang":"en","type":"article","venue":"The Knowledge Engineering Review","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":158,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Unified Modeling Language; Computer science; Scope (computer science); Applications of UML; Ontology; Software engineering; UML tool; Model-driven architecture; Software; Programming language; Epistemology","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":[0.006083346,0.002046169,0.001473339,0.005285171,0.001639993,0.006318683,0.003312652,0.003682609,0.03287857],"category_scores_gemma":[0.01387861,0.001279413,0.002582897,0.006155313,0.002078018,0.01013117,0.004889501,0.005405315,0.02370968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002515929,"about_ca_system_score_gemma":0.004507875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003800234,"about_ca_topic_score_gemma":0.003291706,"domain_scores_codex":[0.993123,0.002951946,0.0009993768,0.0007488164,0.001902756,0.0002741938],"domain_scores_gemma":[0.9943913,0.002490643,0.0005831258,0.001291383,0.0009632079,0.0002803927],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002784425,0.00004962121,0.0002658058,0.0008233406,0.00006413084,0.0004307418,0.0008455754,0.001788888,0.001112989,0.7170632,0.09321138,0.1843165],"study_design_scores_gemma":[0.00001345961,0.00001038027,0.00009214015,0.00040345,0.00001882033,0.0003184174,0.000099423,0.002578878,0.0005010589,0.2265454,0.7693931,0.00002541727],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0007237683,0.01717244,0.8494816,0.01063881,0.002710726,0.0006487935,0.002872513,0.008306704,0.1074445],"genre_scores_gemma":[0.01740326,0.01889035,0.9070837,0.003573478,0.001599727,0.001433929,0.007595211,0.002101826,0.04031845],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03287857,"threshold_uncertainty_score":0.1099898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04874355400138837,"score_gpt":0.2624722398222387,"score_spread":0.2137286858208503,"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."}}