{"id":"W2110298837","doi":"10.1177/1063293x09105333","title":"Towards Semantic Interoperability of Collaborative Engineering in Oil Production Industry","year":2009,"lang":"en","type":"article","venue":"Concurrent Engineering","topic":"Business Process Modeling and Analysis","field":"Business, Management and Accounting","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Interoperability; Semantic interoperability; Computer science; Production (economics); Collaborative engineering; Field (mathematics); Cross-domain interoperability; Feature (linguistics); Scheme (mathematics); Order (exchange); Engineering; Knowledge management; Software engineering; Systems engineering; Manufacturing engineering; World Wide Web; Business; Work in process; Operations management","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":[0.0002681906,0.0001999093,0.0003187922,0.0004256198,0.00002486649,0.00006953509,0.0001625345,0.000110411,0.00001599985],"category_scores_gemma":[0.000369611,0.0001981676,0.00005884822,0.001360624,0.00001555859,0.0006762823,0.00004733873,0.0003483228,0.000005365333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005336431,"about_ca_system_score_gemma":0.00002753611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005621953,"about_ca_topic_score_gemma":0.000006067546,"domain_scores_codex":[0.9989095,0.000003799716,0.0003875849,0.0002855543,0.0001831046,0.000230483],"domain_scores_gemma":[0.9994234,0.000009386988,0.0001111338,0.0001732886,0.0002696084,0.00001313882],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002287521,0.0002850196,0.006600734,0.001918576,0.00005926155,0.000007723648,0.0003813305,0.8083546,0.01329429,0.002256482,0.00009834997,0.1667208],"study_design_scores_gemma":[0.0007361274,0.0000189261,0.01635912,0.00131388,0.00008688626,0.000001773668,0.0001976033,0.9747699,0.004534572,0.000094159,0.00133395,0.0005531163],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995108,0.0004408378,0.003054187,0.000507468,0.0004769017,0.00007073187,9.620487e-7,0.000148668,0.000192251],"genre_scores_gemma":[0.9993527,0.00002835496,0.0001277487,0.00003440958,0.0003987014,0.00001210696,0.00001034743,0.00001598847,0.00001965031],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1664153,"threshold_uncertainty_score":0.8081041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01301939601558155,"score_gpt":0.225085883721406,"score_spread":0.2120664877058245,"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."}}