{"id":"W4386229394","doi":"10.1007/978-3-031-39117-0_28","title":"A Novel Drive-by System Identification Approach for Bridges Utilizing a Modal FRF Similarity Criterion and Soft-Imputing","year":2023,"lang":"en","type":"book-chapter","venue":"Lecture notes in civil engineering","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Modal; Bridge (graph theory); Similarity (geometry); Mode (computer interface); Field (mathematics); Vibration; Algorithm; Frequency response; Computer science; Engineering; Modal analysis; Structural engineering; Artificial intelligence; Acoustics; Mathematics; Finite element method","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003861075,0.0006657593,0.0006791918,0.0004612791,0.0001099678,0.0001262566,0.0002748012,0.0008433374,0.000001111299],"category_scores_gemma":[0.0002189378,0.0007815729,0.0001241895,0.0001285153,0.00003116845,0.0001316648,0.0001133169,0.0009687395,9.710454e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006783318,"about_ca_system_score_gemma":0.00002163782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005965974,"about_ca_topic_score_gemma":0.00003876855,"domain_scores_codex":[0.9977149,0.000007961923,0.0007107308,0.0006808029,0.0002795853,0.0006059762],"domain_scores_gemma":[0.9987986,0.0004647089,0.0001322837,0.0004147177,0.00007399044,0.0001157007],"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":[0.00004129008,0.0000167376,0.0001409272,0.03370548,0.000259772,0.00002048414,0.001554954,0.8345618,0.04216326,0.005836381,0.0002272612,0.08147164],"study_design_scores_gemma":[0.0002667842,0.0000275382,0.00042036,0.001860201,0.00005333947,0.00004381955,0.00001055681,0.9920825,0.003361841,0.0006352437,0.0004519579,0.0007859078],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002077193,0.001744724,0.9900258,0.00002427204,0.001212819,0.001130277,0.0002082096,0.003167656,0.0004090586],"genre_scores_gemma":[0.9627554,0.000156605,0.03538492,0.00001051124,0.0007110145,0.0002248413,0.0002123207,0.0004256329,0.0001188],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9606782,"threshold_uncertainty_score":0.9994635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02570264119412786,"score_gpt":0.2536978779219646,"score_spread":0.2279952367278367,"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."}}