{"id":"W2107048933","doi":"10.1139/l2012-054","title":"Transaction ontology in the domain of infrastructure management<sup>1</sup>This paper is one of a selection of papers in this Special Issue on Construction Engineering and Management.","year":2012,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"U.S. National Library of Medicine; Natural Sciences and Engineering Research Council of Canada","keywords":"Ontology; Computer science; Process ontology; Database transaction; Ontology-based data integration; Data exchange; Data management; Ontology engineering; Software engineering; Database; Architecture; Domain knowledge","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0003753938,0.0001138411,0.0002542656,0.0007344174,0.00001873924,0.00001298919,0.0002287042,0.00007924817,0.0003151738],"category_scores_gemma":[0.00001958467,0.0001038831,0.00004930601,0.0004307305,0.00003827403,0.000273679,0.000009179647,0.0002079506,2.371304e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000959305,"about_ca_system_score_gemma":0.0000332352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003521799,"about_ca_topic_score_gemma":0.004126178,"domain_scores_codex":[0.9990731,0.0000334845,0.0003882883,0.00009621839,0.0001726401,0.0002362275],"domain_scores_gemma":[0.9995875,0.00005507397,0.0001357105,0.0001195271,0.00002889657,0.00007332917],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0002228914,0.0002303348,0.06859245,0.003526427,0.001143782,0.0003004593,0.08293018,0.520385,0.01014876,0.1094031,0.002623275,0.2004933],"study_design_scores_gemma":[0.005915418,0.000973917,0.8269156,0.002973892,0.0003079364,0.00145123,0.008711117,0.07635474,0.008268555,0.001685061,0.06531552,0.001127057],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9201854,0.001065442,0.05427605,0.001078975,0.001848948,0.0005978131,0.000008134057,0.00002408946,0.02091511],"genre_scores_gemma":[0.9913213,0.0001265395,0.008338548,0.00003982577,0.0001553646,0.000002100772,2.368029e-7,0.000006395047,0.000009714764],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7583231,"threshold_uncertainty_score":0.4236232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004677855533759686,"score_gpt":0.1767262609527787,"score_spread":0.172048405419019,"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."}}