{"id":"W2028251498","doi":"10.1007/s00466-010-0496-y","title":"Identification of the parameters of an elastic material model using the constitutive equation gap method","year":2010,"lang":"en","type":"article","venue":"Computational Mechanics","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":96,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Identification (biology); Finite element method; Isotropy; Constitutive equation; Context (archaeology); Field (mathematics); Applied mathematics; Cauchy elastic material; Computer science; Mathematics; Structural engineering; Engineering; Physics; Geology","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":[0.0002905873,0.0000697717,0.00008842842,0.00004020958,0.00006832115,0.00001211427,0.0001813704,0.00005811606,0.000001957265],"category_scores_gemma":[0.00008777581,0.00005058207,0.00002889868,0.0001136275,0.00003827531,0.00008789086,0.00002670132,0.0001171469,2.33323e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003783311,"about_ca_system_score_gemma":0.00005684147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001505869,"about_ca_topic_score_gemma":0.000001978412,"domain_scores_codex":[0.9993143,0.00005129106,0.0002885406,0.00008167191,0.0001899802,0.0000742171],"domain_scores_gemma":[0.999357,0.0001655205,0.0001455341,0.0001672577,0.0001467355,0.00001794889],"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":[0.000005012876,0.00000338222,0.000002636045,0.00002663967,0.000006503799,2.627371e-8,0.0001262193,0.8336133,0.1086647,0.05554441,0.000001271404,0.002005897],"study_design_scores_gemma":[0.0000355916,0.00000684903,0.0002241903,0.00001123494,0.0000129913,0.000003261291,0.00001354743,0.6871371,0.1333326,0.1791895,2.23094e-7,0.00003299536],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4829686,0.000001767301,0.5161318,0.000006724533,0.0007073677,0.0001277579,0.00002153144,0.00003206458,0.000002469721],"genre_scores_gemma":[0.7472112,4.350092e-7,0.2527334,0.000005104879,0.00002936119,0.000006731383,0.000005719713,0.000007795192,2.872453e-7],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2642426,"threshold_uncertainty_score":0.2062677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06196154464642845,"score_gpt":0.3414524224150691,"score_spread":0.2794908777686406,"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."}}