{"id":"W2102864810","doi":"10.1139/cjce-2014-0331","title":"Nonlinear analysis of isotropic slab bridges under extreme traffic loading","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Rijkswaterstaat; European Commission","keywords":"Nonlinear system; Extrapolation; Slab; Structural engineering; Isotropy; Finite element method; Linear model; Linear elasticity; Engineering; Computer science; Mathematics; Physics; Mathematical analysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002511905,0.0002262955,0.0005311092,0.00157918,0.0000222725,0.0000444186,0.0002733067,0.0001129191,0.00004832294],"category_scores_gemma":[0.0000976129,0.0002486152,0.0002404222,0.001025417,0.00002611217,0.0001906212,0.00000677844,0.0003178026,0.000003622358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003667815,"about_ca_system_score_gemma":0.0002682215,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001869268,"about_ca_topic_score_gemma":0.02379645,"domain_scores_codex":[0.9986923,0.000009706879,0.0005431559,0.0001059488,0.0002313383,0.0004175333],"domain_scores_gemma":[0.9986709,0.00005256978,0.00008483384,0.0002172414,0.0001810428,0.0007933655],"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":[0.000001791114,0.000004231413,0.0006122707,0.00005047821,0.0005847019,0.00004904636,0.0003038008,0.9970492,0.000651971,0.0001125537,0.0003394778,0.000240463],"study_design_scores_gemma":[0.0003136897,0.00004791639,0.002239234,0.00009155343,0.0003285162,0.00005390719,0.0001345473,0.9925086,0.0002682763,0.000008406721,0.003751458,0.0002538908],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8295774,0.003572859,0.1645163,0.00004638744,0.001359318,0.00005360313,0.00005976697,0.0001039077,0.0007104221],"genre_scores_gemma":[0.9978251,0.00004127533,0.001803323,0.00000906346,0.0001923816,8.905476e-7,0.00000859987,0.0000610303,0.00005834157],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1682477,"threshold_uncertainty_score":0.9999966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01700592383412124,"score_gpt":0.1918081855084395,"score_spread":0.1748022616743183,"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."}}