{"id":"W2143931130","doi":"10.1061/(asce)be.1943-5592.0000223","title":"Fatigue Testing and Analysis of Aluminum Welds under In-Service Highway Bridge Loading Conditions","year":2011,"lang":"en","type":"article","venue":"Journal of Bridge Engineering","topic":"Fatigue and fracture mechanics","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Structural engineering; Bridge (graph theory); Engineering; Eurocode; Welding; Equivalence (formal languages); Aluminium; Materials science; Mechanical engineering; Mathematics; Metallurgy","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002698948,0.0001653791,0.0004346668,0.0007914555,0.00002107285,0.0000166977,0.0001398076,0.00008989931,0.00002087185],"category_scores_gemma":[0.00009871433,0.0001733018,0.0001025136,0.00110044,0.00001058931,0.0002687528,0.00002456769,0.0003332967,9.023975e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005937674,"about_ca_system_score_gemma":0.00001679678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000839245,"about_ca_topic_score_gemma":0.00004016267,"domain_scores_codex":[0.9989409,0.00001161228,0.0005718286,0.00009623,0.0001615581,0.0002178491],"domain_scores_gemma":[0.9993111,0.0001820266,0.0001481826,0.0001348419,0.0001209967,0.0001028802],"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":[0.000005648635,0.00003003548,0.008406678,0.0001692783,0.0007331328,0.00005393655,0.001115432,0.9593353,0.02929983,0.0002404809,0.00005228536,0.0005580064],"study_design_scores_gemma":[0.0002945787,0.0000413086,0.4499367,0.0002190439,0.0003672758,0.00005535511,0.0000542279,0.5367942,0.0119662,0.000055137,0.00002558945,0.0001903217],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8158861,0.000356503,0.1831354,0.00001821958,0.0003055683,0.00004671443,0.0000141999,0.00004318721,0.0001941017],"genre_scores_gemma":[0.9957771,0.00004694615,0.004044911,0.00002534115,0.00006722609,0.000001553899,0.000003730423,0.00003111671,0.000002097767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.44153,"threshold_uncertainty_score":0.7067043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05090078640995341,"score_gpt":0.2396688218732149,"score_spread":0.1887680354632615,"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."}}