{"id":"W4409668104","doi":"10.3390/ijgi14050180","title":"Georeferencing Building Information Models for BIM/GIS Integration: A Review of Methods and Tools","year":2025,"lang":"en","type":"review","venue":"ISPRS International Journal of Geo-Information","topic":"3D Modeling in Geospatial Applications","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Esri (Canada); Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Georeference; Building information modeling; Computer science; Geographic information system; Construction engineering; Systems engineering; Engineering; Geography; Remote sensing; Operations management","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00150241,0.0003555532,0.001138825,0.001191942,0.00006580363,0.0002780374,0.0006643208,0.0002678877,0.0000162745],"category_scores_gemma":[0.001158062,0.0003141693,0.0004786477,0.0003572244,0.00003070134,0.007093162,0.0001017951,0.0004527846,0.0000052682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003954194,"about_ca_system_score_gemma":0.0003837936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001406928,"about_ca_topic_score_gemma":0.000001159096,"domain_scores_codex":[0.9961022,0.0000681205,0.003065228,0.0000900878,0.0004951619,0.0001792417],"domain_scores_gemma":[0.9946052,0.0006218078,0.001995087,0.0002403843,0.002460758,0.00007674749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007726672,0.00000608014,6.985407e-8,0.03458921,0.0002578293,8.393615e-8,0.0001545849,0.007729804,0.000001125466,0.009824208,0.001091258,0.946338],"study_design_scores_gemma":[0.0003738212,0.00004788016,8.711717e-7,0.1021899,0.0006776876,0.00007684002,0.00007038502,0.09697179,0.00004676908,0.003092526,0.796129,0.0003225048],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[9.099863e-7,0.4192837,0.5784975,0.0000744133,0.0007219901,0.0006174099,0.0002507166,0.00003060203,0.0005227969],"genre_scores_gemma":[0.00002909543,0.8138142,0.1850512,0.0001624475,0.00013044,0.0001549748,0.0006402965,0.00001337349,0.000004007357],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.9460155,"threshold_uncertainty_score":0.999931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04761979097052108,"score_gpt":0.3930013737886027,"score_spread":0.3453815828180816,"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."}}