{"id":"W4413076733","doi":"10.1080/15732479.2025.2529470","title":"Redundancy in bridge substructures subjected to lateral loads and calibration of pier system factors","year":2025,"lang":"en","type":"article","venue":"Structure and Infrastructure Engineering","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Pier; Structural engineering; Bridge (graph theory); Calibration; Redundancy (engineering); Engineering; Structural health monitoring; Forensic engineering; Geotechnical engineering; Reliability engineering; Mathematics; Statistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004450456,0.0007412703,0.0003218735,0.00216374,0.0003368208,0.0004005207,0.000605301,0.0003774563,0.0008710017],"category_scores_gemma":[0.02024128,0.0003896271,0.0004105798,0.0007615127,0.0005893913,0.000832779,0.0008838873,0.0004500255,0.0002419335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006673606,"about_ca_system_score_gemma":0.0005229396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002724055,"about_ca_topic_score_gemma":0.004185888,"domain_scores_codex":[0.9974602,0.000833776,0.0001498996,0.000310463,0.001153893,0.00009172537],"domain_scores_gemma":[0.9936354,0.00307056,0.0007812167,0.001083919,0.001389063,0.00003981292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003342585,0.0001833097,0.1668821,0.0002127381,0.00007366476,0.0002022317,0.001662292,0.4728748,0.07606877,0.006694817,0.0006162289,0.2741949],"study_design_scores_gemma":[0.00003641433,0.0008696911,0.1709105,0.00006129926,0.00006552367,0.0003148926,0.0003770289,0.7233931,0.09763908,0.003777271,0.00243884,0.0001162659],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6552657,0.00008778848,0.3404478,0.00004547652,0.00001466676,0.0001562168,0.0001665231,0.0004216657,0.003394193],"genre_scores_gemma":[0.9474692,0.00004580892,0.05185831,0.000008455295,0.000004130815,0.00005760512,0.000149698,0.00004095131,0.0003658374],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004450456,"threshold_uncertainty_score":0.02353656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003792277006680669,"score_gpt":0.220159065282672,"score_spread":0.2163667882759913,"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."}}