{"id":"W2153272304","doi":"10.2140/memocs.2015.3.285","title":"Identification of higher-order elastic constants for grain assemblies based upon granular micromechanics","year":2015,"lang":"en","type":"article","venue":"Mathematics and Mechanics of Complex Systems","topic":"Nonlocal and gradient elasticity in micro/nano structures","field":"Materials Science","cited_by":114,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Otto von Guericke University Magdeburg; Universität Duisburg-Essen; Freie Universität Berlin; Bilkent Üniversitesi; Centre National de la Recherche Scientifique; Division of Civil, Mechanical and Manufacturing Innovation; University of North Carolina at Chapel Hill; Universität zu Köln; Università degli Studi di Pavia; Akademie Věd České Republiky; Université de Lyon; Universität Wien; McGill University; Indian National Science Academy; Carnegie Mellon University; Universidad Rey Juan Carlos; Louisiana State University; University of Pittsburgh; National Science Foundation; Wayne State University; Vanderbilt University","keywords":"Micromechanics; Identification (biology); Materials science; Composite material; Mechanics; Physics; Composite number","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003067819,0.0003449921,0.0002698496,0.0006522571,0.0002626199,0.0006751309,0.0004509588,0.0004626779,0.0008355264],"category_scores_gemma":[0.001218861,0.000226667,0.0002129125,0.0003291245,0.0006608089,0.001084934,0.0004493056,0.0004808419,0.0001804857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004054972,"about_ca_system_score_gemma":0.000223236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006472382,"about_ca_topic_score_gemma":0.001041193,"domain_scores_codex":[0.9998665,0.00001972488,0.000007651555,0.00003106618,0.000059138,0.00001601664],"domain_scores_gemma":[0.9995505,0.0001984653,0.0001008137,0.00008977762,0.00003129857,0.00002903599],"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":[0.0001023246,0.0002875628,0.004988234,0.0001694109,0.00003106376,0.000567351,0.0004199543,0.5033033,0.3769905,0.09083609,0.0002911117,0.02201317],"study_design_scores_gemma":[0.00000395733,0.00001611389,0.001338317,0.000003696117,0.000003456091,0.00005412525,0.00002859238,0.9783739,0.01378364,0.006114332,0.0002694468,0.00001047303],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6282772,0.0002100197,0.3672448,0.00008374755,0.00002577475,0.00004422767,0.00004274136,0.0001558724,0.003915655],"genre_scores_gemma":[0.9805069,0.00007358841,0.01876002,0.000007192004,0.000002125531,0.0000194615,0.00002257087,0.00001825653,0.0005898697],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008355264,"threshold_uncertainty_score":0.002942026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03901430799410578,"score_gpt":0.2731185148474098,"score_spread":0.234104206853304,"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."}}