{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005149223,0.0005393326,0.0006772159,0.0006444529,0.0003070207,0.0006725887,0.0009279895,0.001387982,0.001814262],"category_scores_gemma":[0.001805826,0.0004424567,0.0004809884,0.0003633898,0.0005926258,0.001416338,0.0007679957,0.001052236,0.0007342093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002568308,"about_ca_system_score_gemma":0.000929257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001090479,"about_ca_topic_score_gemma":0.0008155991,"domain_scores_codex":[0.9997695,0.00005304269,0.00001193735,0.00004897961,0.00009783958,0.00001872244],"domain_scores_gemma":[0.9995692,0.0002051957,0.00005996713,0.00008091638,0.00007299674,0.00001169778],"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":[0.0001009761,0.000183575,0.001785356,0.0002047704,0.00003699915,0.000195837,0.0001973842,0.7556571,0.05260968,0.06628282,0.001159044,0.1215865],"study_design_scores_gemma":[0.000005086887,0.00001530371,0.0001673226,0.00000751318,0.000004278183,0.00003896617,0.0000128563,0.9915503,0.002563513,0.004874387,0.0007545596,0.000005820265],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007585291,0.00003241867,0.9913657,0.00004487549,0.000008793148,0.00001798856,0.00001904213,0.000145016,0.0007809735],"genre_scores_gemma":[0.5085863,0.0003047439,0.4871269,0.00008803687,0.00002035912,0.0002506102,0.0001856117,0.0002433896,0.003194094],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001814262,"threshold_uncertainty_score":0.006069362,"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."}}