{"id":"W3183963131","doi":"10.1177/10567895211019065","title":"A convex anisotropic damage model based on the compliance tensor","year":2021,"lang":"en","type":"article","venue":"International Journal of Damage Mechanics","topic":"Elasticity and Material Modeling","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Deutsche Forschungsgemeinschaft","keywords":"Anisotropy; Damage mechanics; Tensor (intrinsic definition); Dissipative system; Cauchy stress tensor; Orthotropic material; Materials science; Structural engineering; Applied mathematics; Computer science; Mechanics; Mathematical analysis; Mathematics; Physics; Geometry; Engineering; Finite element method","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":[0.000159496,0.0001056676,0.0001417931,0.00006510008,0.00004147135,0.00009540113,0.0003864696,0.00004652608,0.0001471141],"category_scores_gemma":[0.000140046,0.00008343018,0.0000848969,0.00005831258,0.0000104214,0.0001188883,0.00004103568,0.0002552552,0.00001812514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007424848,"about_ca_system_score_gemma":0.00006479541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.722785e-7,"about_ca_topic_score_gemma":0.000003180282,"domain_scores_codex":[0.9991116,0.00003321985,0.0002835366,0.00007672687,0.0003766306,0.0001182878],"domain_scores_gemma":[0.999159,0.0001066841,0.0000897846,0.0001373242,0.0004574925,0.00004967344],"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":[0.00003476405,0.00004343804,0.000005065582,0.00001600027,0.00006810944,0.0001670947,0.00006569071,0.9022903,0.07087592,0.02575541,0.0004113033,0.0002669304],"study_design_scores_gemma":[0.0003867156,0.00003390492,0.00001844213,0.0001806375,0.00001643584,0.00003177324,0.00005420043,0.9716524,0.02174284,0.00535953,0.0004405279,0.00008256261],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.157156,0.00004044623,0.8390095,0.001322043,0.001573101,0.00004037694,0.00003861369,0.00003215221,0.0007878054],"genre_scores_gemma":[0.9906943,0.00005301411,0.008014861,0.0009503267,0.0002056316,0.000001565465,0.000004808815,0.00002055183,0.00005492749],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8335384,"threshold_uncertainty_score":0.3402184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03344809926957862,"score_gpt":0.2490332326127908,"score_spread":0.2155851333432122,"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."}}