{"id":"W2733706774","doi":"10.1051/epjconf/201714006004","title":"A parallel Discrete Element Method to model collisions between non-convex particles","year":2017,"lang":"en","type":"article","venue":"EPJ Web of Conferences","topic":"Granular flow and fluidized beds","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Grand Équipement National De Calcul Intensif","keywords":"Discrete element method; Heap (data structure); Regular polygon; Convex hull; Mechanics; Geometry; Computer science; Mathematics; Physics; Algorithm","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":[0.00050684,0.0006124942,0.0005807066,0.000478261,0.0005677238,0.0006339037,0.001629874,0.001365777,0.003388144],"category_scores_gemma":[0.001101519,0.0004474784,0.0009348926,0.0005442612,0.0007220577,0.0005220862,0.001074502,0.001363512,0.0008526402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000489487,"about_ca_system_score_gemma":0.001052945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004695243,"about_ca_topic_score_gemma":0.004206125,"domain_scores_codex":[0.999728,0.00005991041,0.00001368792,0.00003713601,0.0001335252,0.00002775249],"domain_scores_gemma":[0.999576,0.0002015705,0.00003380388,0.00004929146,0.00009590721,0.00004330858],"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":[0.00004904793,0.00007386421,0.0008403092,0.00008326657,0.00003457581,0.0001162844,0.00009376674,0.9423524,0.007027966,0.02964425,0.001901723,0.01778261],"study_design_scores_gemma":[0.000007586859,0.000007442251,0.00003203302,0.000002675069,0.000001747617,0.00001276063,0.000004085752,0.9962631,0.0004762826,0.00137203,0.001816968,0.000003231591],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00877045,0.00008369292,0.9854237,0.0001485669,0.0001049186,0.00009820762,0.0001851377,0.0003551168,0.004830119],"genre_scores_gemma":[0.2014264,0.000195263,0.7847124,0.0002305969,0.00007725559,0.0007018713,0.0004970486,0.0004076684,0.01175164],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004695243,"threshold_uncertainty_score":0.01133442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04046789647386942,"score_gpt":0.3086578105400844,"score_spread":0.268189914066215,"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."}}