{"id":"W2998462329","doi":"10.1007/s11440-019-00905-8","title":"Investigating the physical characteristics of dense granular flows by coupling the weakly compressible moving particle semi-implicit method with the rheological model","year":2020,"lang":"en","type":"article","venue":"Acta Geotechnica","topic":"Fluid Dynamics Simulations and Interactions","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Rheology; Mechanics; Compressibility; Solid mechanics; Flow (mathematics); Shear stress; Granular material; Materials science; Free surface; Geotechnical engineering; Particle (ecology); Geology; Physics; Composite material","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":[0.0004055471,0.0004196511,0.0004647308,0.0005087306,0.0003839927,0.0006537959,0.0006416903,0.0008888999,0.000626658],"category_scores_gemma":[0.001709321,0.0002711084,0.000350903,0.0003643133,0.0009481013,0.0008670899,0.0007154056,0.0006129462,0.0000599645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002894223,"about_ca_system_score_gemma":0.0005714614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004646969,"about_ca_topic_score_gemma":0.002407984,"domain_scores_codex":[0.9999179,0.00002808295,0.000004472128,0.00001120944,0.0000231527,0.00001513284],"domain_scores_gemma":[0.9993205,0.0003823605,0.0000943231,0.00005438996,0.00008407564,0.00006425367],"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":[0.0002171194,0.0002157201,0.004922071,0.000143151,0.00005069839,0.000304372,0.0001987944,0.9336448,0.03523291,0.016985,0.0002176743,0.00786771],"study_design_scores_gemma":[0.000005933131,0.000008787493,0.0002997145,0.000001298084,0.000001568216,0.000006139218,0.000007599025,0.9986242,0.0005080871,0.0004999271,0.00003386458,0.000002828729],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8838432,0.0002491445,0.1122455,0.0001913758,0.00004666426,0.0000624307,0.00004800941,0.0001513131,0.003162266],"genre_scores_gemma":[0.9848408,0.00007650507,0.0143295,0.00001810358,0.00001090439,0.00001987467,0.00003475535,0.00002663108,0.0006428839],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004646969,"threshold_uncertainty_score":0.009239793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01598752772285881,"score_gpt":0.2445014905431265,"score_spread":0.2285139628202677,"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."}}