{"id":"W2999206313","doi":"10.1109/iesm45758.2019.8948082","title":"Multi-domain BIM interoperability: queries as data-exchange vectors","year":2019,"lang":"en","type":"preprint","venue":"","topic":"BIM and Construction Integration","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Interoperability; Computer science; Domain (mathematical analysis); Data exchange; Field (mathematics); World Wide Web; Software engineering; Database","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001655438,0.0003127131,0.0003180836,0.000130254,0.00003356127,0.0001346259,0.000471602,0.0003480512,0.001882284],"category_scores_gemma":[0.00003267585,0.0002715915,0.00008225731,0.00007461884,0.00006962439,0.0002075748,0.000613025,0.0006019756,0.0006597788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001317022,"about_ca_system_score_gemma":0.00006138816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005774126,"about_ca_topic_score_gemma":0.000908406,"domain_scores_codex":[0.9987926,0.00004639291,0.000328715,0.0004852956,0.0001526193,0.0001943204],"domain_scores_gemma":[0.9986488,0.00002570195,0.0000424061,0.001153165,0.00006736271,0.00006255461],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002921941,0.0006851078,0.05540913,0.01553218,0.004780313,0.00005790197,0.0173807,0.04091777,0.01794652,0.04975902,0.1750773,0.6221618],"study_design_scores_gemma":[0.001327015,0.0001322686,0.005199043,0.0007505978,0.0001819485,0.00007423662,0.005334723,0.395203,0.005788911,0.004237323,0.5789006,0.002870322],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5499493,0.002602866,0.3648254,0.0005143668,0.0241977,0.001605339,0.0008226183,0.003215207,0.05226716],"genre_scores_gemma":[0.9763969,0.0003942066,0.01813387,0.0001219742,0.0004182475,0.0001080337,0.001094359,0.0000960332,0.003236425],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6192915,"threshold_uncertainty_score":0.9999737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03939527235954288,"score_gpt":0.263916316026036,"score_spread":0.2245210436664932,"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."}}