{"id":"W4412449064","doi":"10.1016/j.autcon.2025.106378","title":"Automatic floor plan analysis: Datasets, methods, and applications (2000–2025)","year":2025,"lang":"en","type":"article","venue":"Automation in Construction","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Plan (archaeology); Floor plan; Computer science; Engineering; Data science; Engineering drawing; Geography; Archaeology","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":[0.002164256,0.001252729,0.0005734321,0.005171606,0.0007179935,0.001089367,0.001387295,0.0008376936,0.005592123],"category_scores_gemma":[0.005304934,0.0006537557,0.0008765161,0.00621854,0.0004853352,0.00108338,0.0015957,0.0008974911,0.01019589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001236557,"about_ca_system_score_gemma":0.002275173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04786296,"about_ca_topic_score_gemma":0.06504048,"domain_scores_codex":[0.9980275,0.0002161338,0.0002054873,0.0003474021,0.001001352,0.0002020301],"domain_scores_gemma":[0.9947426,0.0005004165,0.0003791726,0.001519296,0.002498323,0.0003601769],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001024896,0.0005772113,0.04001528,0.0005915025,0.0002034943,0.0001472478,0.000167987,0.0173326,0.005691987,0.001349432,0.6111647,0.3217337],"study_design_scores_gemma":[0.0003949729,0.0003298991,0.331069,0.0003475382,0.0002014195,0.0005630425,0.0005514406,0.08632026,0.03250345,0.003892093,0.5436413,0.0001856148],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"review","genre_scores_codex":[0.07597014,0.0008911403,0.03473738,0.0004553444,0.0003799623,0.0005651488,0.85857,0.01686777,0.01156304],"genre_scores_gemma":[0.03069568,0.000206677,0.0364808,0.00005478281,0.00003272535,0.000419251,0.9283603,0.0003452561,0.003404567],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.04786296,"threshold_uncertainty_score":0.09516871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01562806258261894,"score_gpt":0.2930152698860629,"score_spread":0.277387207303444,"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."}}