{"id":"W2043457247","doi":"10.1061/(asce)em.1943-7889.0000880","title":"3D Nonlinear Viscoelastic-Viscoplastic Model for Ramming Paste Used in a Hall-Héroult Cell","year":2014,"lang":"en","type":"article","venue":"Journal of Engineering Mechanics","topic":"Innovations in Concrete and Construction Materials","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Sciences and Engineering Research Council of Canada","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Alcoa","keywords":"Viscoplasticity; Viscoelasticity; Creep; Materials science; Constitutive equation; Dissipative system; Nonlinear system; Composite material; Hydrostatic equilibrium; Thermodynamics; Structural engineering; Finite element method; Engineering; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005216461,0.0001827495,0.0003331963,0.0003578391,0.00002837281,0.00005340821,0.0001675462,0.0001187349,0.000008393052],"category_scores_gemma":[0.0002025652,0.0001890068,0.000081073,0.0002068651,0.000004544009,0.0001929834,0.00001809956,0.0002482574,0.000003386834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008794614,"about_ca_system_score_gemma":0.00004045596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.723161e-7,"about_ca_topic_score_gemma":0.000001251137,"domain_scores_codex":[0.9987816,0.00001119422,0.0006754328,0.0000989935,0.0001684143,0.0002643439],"domain_scores_gemma":[0.9993486,0.0001667112,0.0001354386,0.0001345131,0.0001545448,0.00006018514],"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":[0.00001247391,0.000006598773,0.000003196969,0.0001507115,0.00001956046,0.000002233278,0.0000855641,0.897729,0.1000197,0.00139544,0.00004601945,0.0005294552],"study_design_scores_gemma":[0.0008212826,0.00007355102,0.000001205209,0.000141567,0.00003152347,0.00003239845,0.00002596909,0.9800293,0.01744889,0.000290446,0.0009181344,0.0001856825],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1143596,0.0000361308,0.8837821,0.00001538508,0.00160488,0.00009919161,0.000008394969,0.00005635547,0.00003795797],"genre_scores_gemma":[0.8363149,0.00001605476,0.1632036,0.00001792827,0.000361144,0.000009329841,0.000002593819,0.00005452814,0.0000200006],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7219552,"threshold_uncertainty_score":0.7707475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008960810977313877,"score_gpt":0.2013919452661989,"score_spread":0.192431134288885,"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."}}