{"id":"W4380355488","doi":"10.3389/fbuil.2023.1103743","title":"Applicability of BIM-IoT-GIS integrated digital twins for post occupancy evaluations","year":2023,"lang":"en","type":"article","venue":"Frontiers in Built Environment","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; University of Victoria","funders":"","keywords":"Building information modeling; Occupancy; Visualization; Computer science; Workflow; Relation (database); Geographic information system; System integration; Systems engineering; Data integration; Database; Digital mapping; Engineering; Data mining; Architectural engineering; Cartography","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":[0.0004323733,0.0001288345,0.0002056911,0.0000830514,0.00007755144,0.00002309457,0.0001959004,0.00007011522,0.0003416952],"category_scores_gemma":[0.00010345,0.0001044267,0.00008580286,0.0002597373,0.0001076783,0.0001042975,0.00001670979,0.00008849574,0.0001061294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000258675,"about_ca_system_score_gemma":0.00002528876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003000589,"about_ca_topic_score_gemma":0.0002199188,"domain_scores_codex":[0.9988676,0.00005791538,0.0002833395,0.0002895584,0.0002323286,0.0002692152],"domain_scores_gemma":[0.9995029,0.0001068456,0.00006264771,0.0002405336,0.00001366836,0.00007339242],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004864725,0.00004136538,0.883737,0.00001937468,0.00001598377,0.000001069327,0.0002469716,0.003299641,0.00008869133,0.000003150026,0.002527782,0.1099703],"study_design_scores_gemma":[0.0003444526,0.0001426879,0.9655361,0.00001356393,0.00001103085,5.072771e-7,0.001350583,0.01706529,0.0001333411,0.0008760538,0.01436799,0.0001583624],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900536,0.0002799888,0.006378155,0.0001743814,0.0003414766,0.0005632517,0.001701353,0.00004904599,0.0004587355],"genre_scores_gemma":[0.9928632,0.00005762179,0.005313373,0.00003023505,0.00002598853,0.00002260425,0.001257519,0.000005033663,0.0004244075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1098119,"threshold_uncertainty_score":0.4258398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02430587671182539,"score_gpt":0.2456356612166556,"score_spread":0.2213297845048302,"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."}}