{"id":"W39689944","doi":"10.1007/978-3-642-35758-9_50","title":"A Holistic Approach for the Architecture and Design of an Ontology-Based Data Integration Capability in Product Master Data Management","year":2012,"lang":"en","type":"book-chapter","venue":"IFIP International Federation for Information Processing/IFIP","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Ontology; Product data management; Product lifecycle; Computer science; Domain (mathematical analysis); Context (archaeology); Product management; Systems engineering; Architecture; Product (mathematics); Knowledge management; Software engineering; Process management; New product development; Engineering; Business","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":[0.001851751,0.0003037865,0.0003010204,0.0003615137,0.0002526768,0.0007673148,0.002208824,0.0001794314,0.000006867307],"category_scores_gemma":[0.0003817418,0.0002289035,0.00004099824,0.0000674037,0.0001479377,0.00416917,0.0004168626,0.000211583,0.000001983406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009010213,"about_ca_system_score_gemma":0.0002163773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002128865,"about_ca_topic_score_gemma":0.00008190692,"domain_scores_codex":[0.9977815,0.00004450892,0.0008921683,0.000594674,0.0004736818,0.0002134996],"domain_scores_gemma":[0.9971791,0.0003183048,0.0007591867,0.001159075,0.0005399802,0.00004436979],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004039722,0.0001413799,0.0000318997,0.001202855,0.0001187503,3.971395e-7,0.001659028,0.007260698,0.00002076402,0.1782742,0.00130951,0.8095765],"study_design_scores_gemma":[0.0008303504,0.00007800131,0.0003442874,0.0001386022,0.00007330843,0.00001451639,0.0001740004,0.9639141,0.00009503149,0.01461432,0.01943754,0.0002859372],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00001283985,0.0002762955,0.9899397,0.001241258,0.0003486016,0.002425184,0.0004219959,0.00006386058,0.005270193],"genre_scores_gemma":[0.1502531,0.00004519779,0.8283922,0.0009545472,0.0003630469,0.0006782857,0.01666313,0.00003832855,0.002612107],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9566534,"threshold_uncertainty_score":0.9334412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1821576598778749,"score_gpt":0.3268172049720515,"score_spread":0.1446595450941766,"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."}}