{"id":"W2972841022","doi":"10.1139/cjce-2019-0341","title":"The first rolling load simulator (ROLLS) for testing bridges in Canada and its application on a full-scale precast box girder","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Precast concrete; Structural engineering; Girder; Engineering; Truck; Axle; Load testing; Scale model; Full scale; Design load; Box girder; Finite element method; Bridge (graph theory); Stiffness; Axle load; Structural load; Automotive engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.001068163,0.0008333784,0.0003971904,0.0007536759,0.0007543255,0.0004741487,0.001713385,0.0007201854,0.004287201],"category_scores_gemma":[0.0009225659,0.000592486,0.0007044143,0.0005116552,0.0007383061,0.0007552084,0.0009873987,0.0005984509,0.001083998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001635158,"about_ca_system_score_gemma":0.00472917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1143351,"about_ca_topic_score_gemma":0.2942099,"domain_scores_codex":[0.9990626,0.00006144008,0.00002738306,0.00009694721,0.0006630727,0.00008864701],"domain_scores_gemma":[0.9991083,0.000115766,0.0000428052,0.0001566747,0.0004704957,0.0001060316],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005068558,0.0003545176,0.02147253,0.0005206846,0.00008183609,0.0005975167,0.001130553,0.1486146,0.6788529,0.002770599,0.006042749,0.1390547],"study_design_scores_gemma":[0.0003585885,0.004814458,0.07971591,0.000184417,0.000215201,0.001209166,0.001244388,0.3778771,0.425781,0.001290272,0.1069393,0.0003702116],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.671862,0.00051964,0.277977,0.0002338758,0.0001605056,0.001529827,0.004342757,0.009031901,0.03434238],"genre_scores_gemma":[0.8603535,0.0004685475,0.1201217,0.00008681462,0.00001241004,0.0006406216,0.003160203,0.00050998,0.01464618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1143351,"threshold_uncertainty_score":0.2273392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004599309876384945,"score_gpt":0.1601629036702925,"score_spread":0.1555635937939076,"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."}}