{"id":"W3158274268","doi":"10.1016/j.buildenv.2021.107905","title":"BIM- and IoT-based virtual reality tool for real-time thermal comfort assessment in building enclosures","year":2021,"lang":"en","type":"article","venue":"Building and Environment","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":139,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"ASHRAE 90.1; Thermal comfort; Computer science; Virtual reality; Context (archaeology); Software; Internet of Things; Real-time computing; Simulation; Consistency (knowledge bases); Embedded system; Human–computer interaction; Artificial intelligence; Operating system","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003925886,0.0007351156,0.00066467,0.001145903,0.0002355858,0.00109447,0.0007709042,0.0006600674,0.006626313],"category_scores_gemma":[0.0007149595,0.0004121511,0.0006782881,0.0008338828,0.0002429082,0.0008738389,0.001351954,0.0003725102,0.001536979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001947661,"about_ca_system_score_gemma":0.0004530248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009004218,"about_ca_topic_score_gemma":0.001534803,"domain_scores_codex":[0.9994594,0.0001231839,0.00002457047,0.0000674902,0.0002695875,0.00005574129],"domain_scores_gemma":[0.999764,0.00005575658,0.00002741707,0.00004750338,0.00007339982,0.00003192763],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009197955,0.0007229841,0.01410014,0.001031786,0.0002357358,0.0008065178,0.000767528,0.3252579,0.1187562,0.01090774,0.01231962,0.514174],"study_design_scores_gemma":[0.00003528672,0.0002323845,0.01209714,0.00007317878,0.00008000836,0.0005116291,0.0003668808,0.9370642,0.03568901,0.003343061,0.01040305,0.0001041462],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1195613,0.0003106917,0.8617432,0.0001335412,0.0001285272,0.0001062969,0.001483736,0.00522787,0.01130486],"genre_scores_gemma":[0.8557994,0.0003370302,0.1378444,0.00009167333,0.00002853384,0.0001607567,0.001125186,0.0002026462,0.004410367],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006626313,"threshold_uncertainty_score":0.02216721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00835196418304277,"score_gpt":0.2222639524720345,"score_spread":0.2139119882889917,"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."}}