{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009933018,0.0006174616,0.0007646672,0.00322436,0.00182978,0.006607454,0.001746598,0.002249776,0.00104799],"category_scores_gemma":[0.01150288,0.0005630774,0.002107911,0.002776231,0.006117769,0.0170542,0.006902658,0.00340066,0.0003274625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002350888,"about_ca_system_score_gemma":0.002953117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003841365,"about_ca_topic_score_gemma":0.002198512,"domain_scores_codex":[0.9897612,0.005226409,0.000882474,0.000850745,0.002820418,0.0004588828],"domain_scores_gemma":[0.9945605,0.001649387,0.0004066856,0.002299017,0.0008949818,0.0001894263],"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":[0.00001844892,0.00002972145,0.0002249548,0.00006402256,0.00002611951,0.0001341661,0.001089535,0.0045174,0.0008428573,0.9715781,0.0004737624,0.0210009],"study_design_scores_gemma":[0.00001965325,0.00001976601,0.0002364217,0.0001125907,0.00003904361,0.0001299214,0.0007676407,0.04239545,0.002197009,0.9262647,0.02779595,0.00002189363],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0118832,0.0004975627,0.975663,0.001655268,0.00007747663,0.00007820734,0.00004370964,0.0003017361,0.009799879],"genre_scores_gemma":[0.3929613,0.001529999,0.6012795,0.0005715895,0.0001525948,0.0002501803,0.0004699873,0.000161398,0.002623485],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009933018,"threshold_uncertainty_score":0.05253148,"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."}}