{"id":"W3124916602","doi":"10.1007/s11831-021-09545-2","title":"Integration of BIM and GIS for Construction Automation, a Systematic Literature Review (SLR) Combining Bibliometric and Qualitative Analysis","year":2021,"lang":"en","type":"article","venue":"Archives of Computational Methods in Engineering","topic":"BIM and Construction Integration","field":"Engineering","cited_by":71,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Building information modeling; Automation; Computer science; Systems engineering; Geographic information system; Robot; Construction engineering; Data science; Engineering management; Engineering; Artificial intelligence; Operations management; Remote sensing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["bibliometrics"],"domain":null,"study_design":"systematic_review","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["bibliometrics"],"domain":null,"study_design":"systematic_review","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005380032,0.0001139127,0.000457509,0.005640474,0.00001945641,0.00002267104,0.00003715817,0.00004141489,0.000001988056],"category_scores_gemma":[0.0007586628,0.0001147794,0.00007116684,0.009006096,0.00004710604,0.000155056,0.00001288581,0.00009151249,2.796351e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001188902,"about_ca_system_score_gemma":0.00001575422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000117968,"about_ca_topic_score_gemma":0.000001225298,"domain_scores_codex":[0.9988799,0.000196772,0.0006053554,0.0001353549,0.0001091307,0.00007347235],"domain_scores_gemma":[0.9974486,0.002133936,0.0001383138,0.00007623198,0.0001746415,0.0000282345],"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":[0.00001536596,0.00003453597,0.0003004888,0.170435,0.001121092,0.000001337991,0.0115928,0.4525576,0.04261892,0.1439582,0.000005327972,0.1773593],"study_design_scores_gemma":[0.0002722334,0.00002791996,0.005494426,0.01571053,0.0002465266,0.00003406019,0.0008536051,0.9572991,0.004603999,0.01532417,0.000003704349,0.0001297966],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01385481,0.03190194,0.9537891,0.00002792705,0.00009061061,0.0002325552,0.00002406237,0.00003496818,0.0000440107],"genre_scores_gemma":[0.2208469,0.003025054,0.7760086,0.000004969195,0.000006782459,0.00004546762,0.00005241323,0.000008329405,0.000001532398],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5047414,"threshold_uncertainty_score":0.5032936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02074527027169123,"score_gpt":0.3570799097212898,"score_spread":0.3363346394495986,"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."}}