{"id":"W4298477333","doi":"","title":"Approximation par trains de tenseurs de lois de comportement élasto-viscoplastiques paramétrées","year":2017,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Elasticity and Material Modeling","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Safran Electronics (Canada)","funders":"","keywords":"Viscoplasticity; Constitutive equation; Cauchy elastic material; Tensor (intrinsic definition); Parametric statistics; Mathematical analysis; Cauchy stress tensor; Mathematics; Applied mathematics; Classical mechanics; Physics; Geometry; Finite element method; Thermodynamics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003306883,0.0003546828,0.0003825894,0.00012908,0.0003794271,0.0005513625,0.0008583457,0.000352998,0.00003670121],"category_scores_gemma":[0.0007143977,0.000411463,0.0001479321,0.00006160488,0.0001547203,0.0001531333,0.0004312838,0.000588667,0.00001525648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004581044,"about_ca_system_score_gemma":0.0002729893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001125796,"about_ca_topic_score_gemma":0.001213396,"domain_scores_codex":[0.9970842,0.001234898,0.0004798387,0.0004319776,0.0002447897,0.0005243198],"domain_scores_gemma":[0.9974095,0.0004227667,0.0002927825,0.001170223,0.0004793011,0.000225408],"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":[0.00009737236,0.001498276,0.008277855,0.005399957,0.0008349635,0.00006505614,0.1090496,0.5267839,0.240971,0.05417962,0.004252932,0.04858948],"study_design_scores_gemma":[0.0004443054,7.564665e-7,0.003755188,0.003077083,0.0001068184,0.00002376197,0.0001474449,0.7692471,0.2102997,0.009721421,0.002533921,0.0006425568],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4361227,0.0002093383,0.5567479,0.0008048958,0.0001871762,0.0002454509,0.00005355477,0.0004115418,0.005217467],"genre_scores_gemma":[0.9123936,0.0007109318,0.08604371,0.00004012128,0.00005311605,0.0001163844,0.0002645054,0.00006636808,0.0003113209],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4762708,"threshold_uncertainty_score":0.9998337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01847377867209722,"score_gpt":0.2314288811252534,"score_spread":0.2129551024531562,"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."}}