{"id":"W4412450561","doi":"10.1016/j.jobe.2025.113438","title":"A transformer-based approach for similar layout retrieval and difference detection in architectural drawings of wood frame buildings","year":2025,"lang":"en","type":"article","venue":"Journal of Building Engineering","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates","keywords":"Transformer; Frame (networking); Computer science; Engineering drawing; Architectural engineering; Engineering; Electrical engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0004903669,0.0001119816,0.000257275,0.0002474449,0.00004305812,0.00003358445,0.0001150736,0.00006975309,0.000002736662],"category_scores_gemma":[0.0001666918,0.0000884615,0.00008655235,0.0002789723,0.00002255327,0.0001068217,0.000002691988,0.0002563497,2.309945e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000113428,"about_ca_system_score_gemma":0.000026253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005619718,"about_ca_topic_score_gemma":0.00002293891,"domain_scores_codex":[0.9992242,0.00001988795,0.0003243313,0.0001094478,0.0001395642,0.0001824999],"domain_scores_gemma":[0.9995449,0.0002162497,0.00009623648,0.00004679364,0.00004448783,0.00005140327],"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":[0.000675036,0.00003161696,0.0410341,0.0007632784,0.0000620281,0.000005439063,0.0006974342,0.7236065,0.1691318,0.00003096528,0.000003287779,0.06395848],"study_design_scores_gemma":[0.00174314,0.0005179624,0.2033059,0.0007472759,0.00005694511,0.0000556749,0.0002432744,0.7212967,0.07137761,0.0002338101,0.0001306282,0.0002911065],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8147218,0.0004321661,0.1845686,0.00004105215,0.0001153744,0.00008304075,0.000007088743,0.00001075395,0.00002010859],"genre_scores_gemma":[0.9772339,0.000009587423,0.02269211,0.00001726924,0.00003560464,4.52163e-7,0.000001760223,0.000003501445,0.000005850522],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1625121,"threshold_uncertainty_score":0.3607355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008591983207505096,"score_gpt":0.2088663345042767,"score_spread":0.2002743512967716,"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."}}