{"id":"W2947060703","doi":"10.1177/1369433219851300","title":"Long-term field test of temperature gradients on the composite girder of a long-span cable-stayed bridge","year":2019,"lang":"en","type":"article","venue":"Advances in Structural Engineering","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":81,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Ministry of Transport of the People's Republic of China","keywords":"Temperature gradient; Span (engineering); Cantilever; Structural engineering; Girder; Curvature; Composite number; Bridge (graph theory); Parametric statistics; Materials science; Engineering; Composite material; Meteorology; Mathematics; Geometry; Physics","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":[0.0002520293,0.0002908655,0.0002598163,0.0002619692,0.0003379346,0.0001488459,0.0002860515,0.0003269833,0.0004889265],"category_scores_gemma":[0.0002755039,0.0001332241,0.0003035375,0.0001785059,0.0002076472,0.0002590772,0.0002333409,0.0003405438,0.0001156943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001395554,"about_ca_system_score_gemma":0.0001491552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001059886,"about_ca_topic_score_gemma":0.002319131,"domain_scores_codex":[0.9998533,0.00001205461,0.000005698618,0.00005048467,0.00005259116,0.00002593831],"domain_scores_gemma":[0.9997218,0.0000339919,0.0000330491,0.00004229484,0.0001089335,0.00005991603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001213788,0.0008113853,0.08082064,0.00009550558,0.00009140712,0.0004886574,0.0004833738,0.01855657,0.8783081,0.0002267203,0.0004825589,0.01842127],"study_design_scores_gemma":[0.00007948933,0.008551877,0.5325752,0.00001867852,0.0001731237,0.000452181,0.0007621496,0.06690506,0.3891431,0.0002148348,0.001058189,0.00006606011],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989939,0.0000126249,0.0007382184,0.000003597432,0.000004687709,0.000004302357,0.00006342086,0.00001282185,0.0001665414],"genre_scores_gemma":[0.999311,0.0000110066,0.0003574667,0.000004132728,0.000001522929,0.000005644682,0.00009821024,0.000003043472,0.0002079908],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001059886,"threshold_uncertainty_score":0.002107441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006772467796891554,"score_gpt":0.2634315107975936,"score_spread":0.256659043000702,"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."}}