{"id":"W2509525227","doi":"10.1016/j.cageo.2016.08.005","title":"An optimal scheme for numerical evaluation of Eshelby tensors and its implementation in a MATLAB package for simulating the motion of viscous ellipsoids in slow flows","year":2016,"lang":"en","type":"article","venue":"Computers & Geosciences","topic":"Composite Material Mechanics","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"National Natural Science Foundation of China","keywords":"Homogenization (climate); Micromechanics; Ellipsoid; Quadrature (astronomy); Computer science; MATLAB; Rheology; Gaussian quadrature; Mathematics; Mathematical analysis; Geology; Algorithm; Nyström method; Materials science; Physics; Integral equation; Composite material","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":[0.0008475935,0.00007429664,0.000126211,0.00009953506,0.00003093234,0.00002264228,0.0001290276,0.00002510926,0.000003331783],"category_scores_gemma":[0.00004325618,0.00005222682,0.0000195228,0.0001636847,0.00001891229,0.0002116437,0.00002401442,0.00001807802,1.287096e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004681961,"about_ca_system_score_gemma":0.00001624621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001974655,"about_ca_topic_score_gemma":0.00002059624,"domain_scores_codex":[0.9992181,0.00004761477,0.0002657692,0.0001475578,0.0001751403,0.0001457951],"domain_scores_gemma":[0.9995919,0.0001638704,0.00006627332,0.00008401597,0.00007494398,0.00001896493],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003546678,0.0000296223,0.0008301581,0.00009462304,0.000004859301,1.023218e-7,0.001295469,0.3537778,0.5257546,0.0002180536,0.000003588134,0.1179556],"study_design_scores_gemma":[0.0006796758,0.0001707578,0.003443887,0.00004940922,0.000006983356,5.058679e-7,0.0002042976,0.9598059,0.03530689,0.0002645516,0.000004081209,0.00006308619],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7165914,0.00003030283,0.2826884,0.000029959,0.0001419149,0.0004921107,0.00001380751,0.00001138134,8.137366e-7],"genre_scores_gemma":[0.9821226,0.000003215691,0.01779057,0.000003593482,0.00002439897,0.00004372943,0.000004778013,0.000006790384,3.044783e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.606028,"threshold_uncertainty_score":0.2129748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02419690708094686,"score_gpt":0.3069285409678248,"score_spread":0.282731633886878,"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."}}