{"id":"W2883012434","doi":"10.1061/9780784481257.077","title":"Prediction Error in Strain Response in Finite Element Simulations with Moving Load Formulation of Train Passages of Open Deck Steel Bridges","year":2018,"lang":"en","type":"article","venue":"ICRT 2017","topic":"Fatigue and fracture mechanics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"York University","keywords":"Finite element method; Bridge (graph theory); Strain gauge; Deck; Structural engineering; Moving load; Engineering; Service life; Computer science; Reliability engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008285416,0.0004942639,0.0005014892,0.0003326646,0.0002659611,0.0005954096,0.0006620851,0.001142059,0.0008849183],"category_scores_gemma":[0.002853944,0.0003206398,0.0004067495,0.0002505448,0.0004872615,0.000582574,0.0004033545,0.0006044636,0.0002433584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005304739,"about_ca_system_score_gemma":0.000571273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01246227,"about_ca_topic_score_gemma":0.007817779,"domain_scores_codex":[0.999627,0.0001138978,0.00002688135,0.00007745378,0.0001129842,0.00004170981],"domain_scores_gemma":[0.9982715,0.001126674,0.0001573301,0.0001670547,0.0002314313,0.00004603244],"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":[0.00005098695,0.00004201891,0.00194588,0.00001945861,0.000009541757,0.00003658183,0.00003813112,0.9889444,0.004570089,0.0002038675,0.00006329954,0.00407572],"study_design_scores_gemma":[0.000002345168,0.00002695908,0.0006541727,0.000002924229,0.00000163963,0.000005417175,0.00001134845,0.9977095,0.001486994,0.00004134489,0.00005330111,0.000003966023],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9147575,0.000121875,0.08215571,0.0001542696,0.00003386695,0.00002796469,0.0001983044,0.0003324069,0.002218066],"genre_scores_gemma":[0.9925222,0.00003844458,0.006573346,0.00001817123,0.000003764324,0.0000186307,0.0001552112,0.00004363061,0.0006265901],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01246227,"threshold_uncertainty_score":0.02477944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04220115267136551,"score_gpt":0.2897329095313448,"score_spread":0.2475317568599793,"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."}}