{"id":"W2955122893","doi":"10.22260/isarc2019/0079","title":"Information Exchange Process for AR based Smart Facility Maintenance System Using BIM Model","year":2019,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"BIM and Construction Integration","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Building information modeling; Data exchange; Computer science; Information system; Process (computing); Information exchange; Information model; Systems engineering; Augmented reality; Field (mathematics); Software engineering; Database; Engineering; Human–computer interaction; Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001657033,0.0001114882,0.0001361111,0.0000671542,0.00005536381,0.00003451809,0.0001614504,0.00007244264,0.000006576177],"category_scores_gemma":[0.00002559952,0.00008233087,0.00007342896,0.0001563744,0.00002584969,0.0006056802,0.00001441133,0.00008204206,0.000007118704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000111331,"about_ca_system_score_gemma":0.00002629998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007287103,"about_ca_topic_score_gemma":7.988938e-7,"domain_scores_codex":[0.9993709,0.000001320468,0.0002402944,0.00007759139,0.0001598775,0.0001500092],"domain_scores_gemma":[0.99942,0.000008336388,0.0001117872,0.00007667355,0.0003592171,0.0000239779],"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":[0.0007059812,0.0001082495,0.03544149,0.07225689,0.0002720332,5.653165e-8,0.01242112,0.5132816,0.2080794,0.1199594,0.005098466,0.0323753],"study_design_scores_gemma":[0.0002981917,0.0000118241,0.0001008182,0.0001975697,0.00001539429,0.000003034202,0.001325111,0.9661295,0.03077817,0.0005465681,0.0004909402,0.0001028497],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9476724,0.00002200822,0.04559738,0.00006283863,0.0004090469,0.0007581181,0.00008480829,0.0001790429,0.00521432],"genre_scores_gemma":[0.9986054,0.000001135747,0.001219237,0.00002669977,0.00002089681,0.0000607822,0.00000388953,0.000008662347,0.00005323931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4528479,"threshold_uncertainty_score":0.3357355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0158074021778637,"score_gpt":0.2086222769601887,"score_spread":0.192814874782325,"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."}}