{"id":"W3146739052","doi":"10.1016/j.compgeo.2021.104143","title":"Multiscale modelling of granular materials in boundary value problems accounting for mesoscale mechanisms","year":2021,"lang":"en","type":"article","venue":"Computers and Geotechnics","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary; Carleton University","funders":"","keywords":"Mesoscale meteorology; Boundary value problem; Granular material; Computer science; Scale (ratio); Statistical physics; Geology; Geotechnical engineering; Mathematics; Physics; Mathematical analysis","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":[0.0004404434,0.0004114409,0.0009419534,0.0005463895,0.0004730708,0.001521695,0.001086164,0.001793269,0.001344231],"category_scores_gemma":[0.00200035,0.0004597067,0.000689836,0.0004222919,0.00114498,0.00139305,0.001210946,0.0009656934,0.0001468594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006322002,"about_ca_system_score_gemma":0.0006222635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004177361,"about_ca_topic_score_gemma":0.003035368,"domain_scores_codex":[0.999777,0.000073591,0.00001547527,0.00003161559,0.00005797848,0.00004431992],"domain_scores_gemma":[0.9993772,0.0002968721,0.0001040624,0.00006491173,0.00007022381,0.00008690806],"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":[0.00004012286,0.00005879197,0.0009461398,0.00006124315,0.00003699634,0.0001547459,0.00004343378,0.9424887,0.005184177,0.0466263,0.0003767257,0.003982598],"study_design_scores_gemma":[0.000003868697,0.000004138087,0.0001429295,0.000002596641,0.000002513961,0.000007736761,0.000004297099,0.9954084,0.0001439097,0.004177878,0.00009915502,0.000002619844],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3634549,0.001628225,0.6181133,0.001227332,0.0003317886,0.00008115729,0.0002361953,0.0003848326,0.01454231],"genre_scores_gemma":[0.9787825,0.000265443,0.01900588,0.00005468158,0.0000639834,0.00003896789,0.00005853981,0.00005632876,0.00167376],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004177361,"threshold_uncertainty_score":0.008306086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01497633020620195,"score_gpt":0.1997025911210957,"score_spread":0.1847262609148937,"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."}}