{"id":"W2080176210","doi":"10.1061/(asce)st.1943-541x.0001178","title":"Utilization of Nonlinear Finite Elements for the Design and Assessment of Large Concrete Structures. II: Applications","year":2014,"lang":"en","type":"article","venue":"Journal of Structural Engineering","topic":"Structural Behavior of Reinforced Concrete","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Cracking; Finite element method; Structural engineering; Nonlinear system; Shear (geology); Reinforced concrete; Thermal; Engineering; Computer science; Materials science; Composite material; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002759609,0.0001715725,0.000322197,0.0001263847,0.00006623119,0.00001679952,0.0002241914,0.00006907333,0.00001332649],"category_scores_gemma":[0.00008255401,0.0001240265,0.0000996552,0.0001403314,0.00003351665,0.000160954,0.00003660874,0.0002016396,3.360714e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000385184,"about_ca_system_score_gemma":0.00002357201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000141349,"about_ca_topic_score_gemma":8.968593e-8,"domain_scores_codex":[0.9988482,0.00001230792,0.0006394988,0.00007909249,0.0002357504,0.0001851551],"domain_scores_gemma":[0.9989179,0.0003422845,0.0003102057,0.0001600044,0.0002067424,0.00006283488],"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":[0.00002530795,2.857474e-7,0.000342881,0.0003142652,0.0002229277,3.963181e-7,0.0001788013,0.8497959,0.1198769,0.005147468,0.00001562002,0.0240793],"study_design_scores_gemma":[0.0008123884,0.0001476446,0.004832261,0.00004507403,0.0001234405,0.00002322343,0.00003435156,0.93962,0.05239087,0.0001380343,0.001702437,0.0001302929],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.302839,0.0004278895,0.6960393,0.00001318884,0.000243606,0.0003705528,0.0000332776,0.00002200235,0.00001116742],"genre_scores_gemma":[0.8374497,0.00007053474,0.1623263,0.000005518094,0.0001056202,0.000009444529,0.000006327827,0.00002362543,0.000002893252],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5346107,"threshold_uncertainty_score":0.5057653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02014665078865626,"score_gpt":0.2858539183560598,"score_spread":0.2657072675674035,"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."}}