{"id":"W4412670856","doi":"10.1016/j.autcon.2025.106429","title":"Architecture of tomorrow: The construction industry in the era of artificial intelligence","year":2025,"lang":"en","type":"article","venue":"Automation in Construction","topic":"BIM and Construction Integration","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Architecture; Engineering; Artificial intelligence; Construction industry; Architectural engineering; Engineering management; Computer science; Construction engineering; Manufacturing engineering; Art; Visual arts","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":[0.0003350113,0.0001077856,0.000149452,0.0002968711,0.00004907168,0.00002273581,0.0001565401,0.0002823358,0.00005248007],"category_scores_gemma":[0.00007319257,0.00007931119,0.00004704908,0.001164793,0.0003178366,0.0001430356,0.00001078546,0.0008291249,0.000001670839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005979702,"about_ca_system_score_gemma":0.00006484731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008801274,"about_ca_topic_score_gemma":0.0002335118,"domain_scores_codex":[0.9988544,0.0001230981,0.000633218,0.0001149018,0.0001673553,0.0001070243],"domain_scores_gemma":[0.9994143,0.0001589375,0.0001303231,0.0002098157,0.00007789196,0.000008686884],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001636962,0.00001640175,0.007065171,0.00006834711,0.00001480986,2.802961e-7,0.001035948,0.03146401,0.002280778,0.2126441,0.00003922667,0.7453545],"study_design_scores_gemma":[0.000661079,0.00009285202,0.142611,0.001081134,0.00009343025,0.0003274407,0.03898571,0.3020671,0.1626293,0.3501413,0.0007935331,0.0005161157],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9139259,0.000119209,0.08013227,0.0009510964,0.001273013,0.0003397947,0.000007841715,0.00007391889,0.003176892],"genre_scores_gemma":[0.9972327,0.00002598545,0.002617753,0.00003098823,0.00003799509,0.00004048498,0.000006025019,0.000004785754,0.000003226147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7448384,"threshold_uncertainty_score":0.3602181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00922128614498672,"score_gpt":0.2375733588344598,"score_spread":0.2283520726894731,"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."}}