{"id":"W7116827080","doi":"10.11159/ijci.2025.026","title":"A Workflow for Integrating Point Cloud Data and Eddy Current Measurements into 3D Digital Modelling of Existing Steel Structures","year":2025,"lang":"","type":"article","venue":"International Journal of Civil Infrastructure","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Workflow; Cloud computing; Point (geometry); Key (lock); Point cloud","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001710906,0.002852132,0.001568927,0.003307342,0.001331141,0.004618088,0.003351697,0.001464659,0.02615287],"category_scores_gemma":[0.005201799,0.002019417,0.002396276,0.001980318,0.0008065942,0.001693693,0.004353407,0.001804577,0.01503489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001327665,"about_ca_system_score_gemma":0.003400993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01714579,"about_ca_topic_score_gemma":0.0209662,"domain_scores_codex":[0.9989722,0.00006868879,0.0001230837,0.0002494813,0.0004946093,0.00009195854],"domain_scores_gemma":[0.9976574,0.0006336079,0.0001533981,0.0005735134,0.0007174848,0.0002645633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007113334,0.0006114074,0.01046394,0.001856544,0.0005080907,0.002665716,0.003266783,0.07979138,0.1042596,0.01425672,0.1053682,0.6762403],"study_design_scores_gemma":[0.0003558643,0.0002253087,0.01537217,0.0005089205,0.0002878833,0.001659792,0.001581131,0.604049,0.1151766,0.03565254,0.2245391,0.0005918327],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004137599,0.000102281,0.9011204,0.0001614659,0.00007697435,0.0006577821,0.004953341,0.08581154,0.002978581],"genre_scores_gemma":[0.06219234,0.0003646139,0.8986866,0.0002351279,0.00004094168,0.001247049,0.01805471,0.01200904,0.007169595],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02615287,"threshold_uncertainty_score":0.08749008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08252510703169157,"score_gpt":0.3671069734975637,"score_spread":0.2845818664658721,"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."}}