{"id":"W7081909206","doi":"10.26599/jic.2025.9180094","title":"Generative Artificial Intelligence in AEC Organizations: A Literature and SWOT Analysis","year":2025,"lang":"en","type":"article","venue":"Journal of Intelligent Construction","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"George Brown College","funders":"","keywords":"SWOT analysis; Process (computing); Automation; Quality (philosophy); Strategic planning; Generative grammar","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01540368,0.0009246961,0.0008447128,0.02490014,0.003243049,0.009848628,0.001800566,0.002339823,0.002627739],"category_scores_gemma":[0.02993749,0.0007469449,0.00122514,0.02885564,0.008769052,0.01065798,0.003991093,0.002015296,0.0004074505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01188487,"about_ca_system_score_gemma":0.01057149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006497817,"about_ca_topic_score_gemma":0.009254687,"domain_scores_codex":[0.9854403,0.009317187,0.001073131,0.0007538218,0.003001862,0.0004136983],"domain_scores_gemma":[0.9526848,0.03785601,0.002719829,0.001499736,0.004833404,0.000406191],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000378916,0.0001205591,0.01084953,0.009179161,0.0001410963,0.001330916,0.04739385,0.006772582,0.0004407472,0.6566849,0.004492077,0.2625568],"study_design_scores_gemma":[0.00002900852,0.0001985991,0.02043997,0.0388931,0.0002594421,0.00143936,0.1183807,0.0179551,0.001586136,0.5165148,0.2841508,0.000152965],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.1754342,0.2075871,0.3130077,0.0374698,0.0007284969,0.002542459,0.0009347263,0.0002732817,0.2620223],"genre_scores_gemma":[0.7208077,0.1133732,0.1553723,0.0026413,0.0001918237,0.001811544,0.0005673761,0.0001175978,0.005117249],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.02490014,"threshold_uncertainty_score":0.08623117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008929806558034258,"score_gpt":0.2495795045462799,"score_spread":0.2406496979882456,"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."}}