{"id":"W2785919353","doi":"10.12783/shm2017/14136","title":"Damage Localization of a Real Structure using the Statistical Subspace Damage Localization Method","year":2017,"lang":"en","type":"article","venue":"","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Subspace topology; Frame (networking); Computer science; Statistical analysis; Structural engineering; Mathematics; Artificial intelligence; Statistics; Engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002220067,0.0001597754,0.000199122,0.00005746617,0.0003206745,0.0000808937,0.0003380031,0.000138007,0.00006430257],"category_scores_gemma":[0.0001436509,0.0001175543,0.00002481694,0.000103709,0.000114573,0.0002106667,0.000078987,0.0001723234,6.612437e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001065809,"about_ca_system_score_gemma":0.00002778508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001118211,"about_ca_topic_score_gemma":0.0001659843,"domain_scores_codex":[0.9990159,0.00008896513,0.0002774844,0.0001624947,0.0002303434,0.0002248279],"domain_scores_gemma":[0.9989203,0.0001157158,0.0001204187,0.000669732,0.0001090042,0.00006486403],"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":[0.0001194982,0.00003139853,0.07061095,0.002111548,0.0001721967,0.00003235169,0.003617627,0.6902851,0.03769135,0.1185568,0.006050657,0.07072049],"study_design_scores_gemma":[0.0001299375,0.00002220894,0.03281202,0.00004851498,0.00002744837,0.000005048693,0.00008391848,0.9263467,0.03650082,0.003641353,0.0002367225,0.0001452874],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1186248,0.00001407237,0.8797303,0.00003410618,0.0003344309,0.0002387607,0.00003578243,0.0002847157,0.0007030621],"genre_scores_gemma":[0.8580869,0.00002631986,0.1416762,0.00001610944,0.0001192963,0.000003124437,0.00001802286,0.00003544713,0.00001858102],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7394621,"threshold_uncertainty_score":0.4793724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03202976534157342,"score_gpt":0.3672059592826208,"score_spread":0.3351761939410474,"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."}}