{"id":"W3172165699","doi":"10.1051/epjconf/202124903049","title":"DEM modeling of segregation and stratification in pouring heaps of bidispersed mixtures of rounded particles","year":2021,"lang":"en","type":"article","venue":"EPJ Web of Conferences","topic":"Granular flow and fluidized beds","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Université du Québec en Abitibi-Témiscamingue","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Heap (data structure); Stratification (seeds); Binary number; Discrete element method; Mechanics; SPHERES; Dispersity; Mathematics; Statistical physics; Geology; Physics; Engineering; Algorithm; Chemical engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001885672,0.0003278024,0.0003349322,0.0005699269,0.0003219128,0.0006491938,0.0004594754,0.0007844259,0.0006879275],"category_scores_gemma":[0.0008014399,0.0002305595,0.0002990499,0.0003142692,0.0006321221,0.0004959774,0.0003769373,0.0003216922,0.0001032646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000603293,"about_ca_system_score_gemma":0.0003693825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006114004,"about_ca_topic_score_gemma":0.003530673,"domain_scores_codex":[0.9999213,0.00001649364,0.000005645571,0.00001570317,0.00001912209,0.00002178365],"domain_scores_gemma":[0.9996994,0.0001461751,0.00004237217,0.0000254014,0.00005200035,0.00003475947],"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":[0.00007489223,0.00004099241,0.004383497,0.00005091105,0.00001587254,0.0002243182,0.00008180641,0.9757074,0.01226117,0.004184436,0.0001125584,0.002862126],"study_design_scores_gemma":[0.0000038822,0.00000940194,0.0005340883,0.000002454515,0.00000212536,0.00001936419,0.00001793605,0.9970632,0.001692232,0.0005317302,0.0001199964,0.000003545906],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8144651,0.0003553015,0.1783675,0.0001702523,0.00004064384,0.00005443355,0.0003578607,0.0003373395,0.005851558],"genre_scores_gemma":[0.9886162,0.0001031829,0.009985482,0.00001430547,0.000006391411,0.00002103524,0.0001071791,0.00001861917,0.001127713],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006114004,"threshold_uncertainty_score":0.01215684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02271367830075129,"score_gpt":0.2282092752102776,"score_spread":0.2054955969095263,"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."}}