{"id":"W2402706576","doi":"","title":"Specifying ontology design patterns with an ontology repository","year":2012,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Ontology; Ontology components; Computer science; Process ontology; Upper ontology; Ontology-based data integration; Open Biomedical Ontologies; Suggested Upper Merged Ontology; Information retrieval; Set (abstract data type); Variety (cybernetics); Theme (computing); Interpretation (philosophy); World Wide Web; Semantic Web; Artificial intelligence; 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":[0.02027954,0.001083096,0.001465266,0.003984633,0.002018374,0.008202673,0.004132082,0.002537013,0.003157122],"category_scores_gemma":[0.02496486,0.001956822,0.003290192,0.00475745,0.004169902,0.01951567,0.009261033,0.004476656,0.001146704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002366313,"about_ca_system_score_gemma":0.004238076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002953286,"about_ca_topic_score_gemma":0.004333328,"domain_scores_codex":[0.9804894,0.007434472,0.003174252,0.002437802,0.005542993,0.0009211893],"domain_scores_gemma":[0.9812383,0.007502593,0.001822427,0.006921686,0.001950897,0.0005641853],"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":[0.0001396333,0.0002968535,0.002385732,0.0003941265,0.0001651847,0.001374846,0.003236288,0.01938882,0.005347782,0.8743008,0.006770756,0.08619922],"study_design_scores_gemma":[0.0001641997,0.00013473,0.000410405,0.0005432293,0.0001919233,0.001637526,0.001618801,0.1701847,0.01813873,0.6510978,0.1557104,0.0001674349],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008437494,0.00009523045,0.9834116,0.0007611352,0.0000630799,0.00026736,0.0002935989,0.002739927,0.003930639],"genre_scores_gemma":[0.08162294,0.0001912437,0.9119338,0.0002878518,0.00003408677,0.0004393927,0.001221805,0.0007391355,0.003529773],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02027954,"threshold_uncertainty_score":0.1072497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05535524497183058,"score_gpt":0.2622857856045209,"score_spread":0.2069305406326903,"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."}}