{"id":"W4225013475","doi":"10.1007/s10035-022-01228-4","title":"Gravity sensitivity of continuum numerical solvers for granular flow modeling","year":2022,"lang":"en","type":"article","venue":"Granular Matter","topic":"Fluid Dynamics Simulations and Interactions","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mechanics; Granular material; Finite element method; Physics; Discrete element method; Solver; Classical mechanics; Shear band; Computer science; Shear (geology); Geology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000218297,0.0001212908,0.0002018818,0.00009941154,0.0001719392,0.00001624739,0.00007185766,0.00003345258,0.0002448942],"category_scores_gemma":[0.000009320623,0.0001402679,0.0001827195,0.0001206439,0.00001701075,0.0000995518,0.00004119589,0.0001739096,0.0000148606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006309861,"about_ca_system_score_gemma":0.000007625734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006872277,"about_ca_topic_score_gemma":0.00001379484,"domain_scores_codex":[0.9992206,0.00004744047,0.0002350397,0.0001524526,0.0001409649,0.0002035169],"domain_scores_gemma":[0.9995952,0.00006807346,0.00002532339,0.0002211446,0.00005038825,0.00003982527],"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":[0.00001620742,0.00003675748,0.0009492877,0.00003522967,0.00002479325,0.000002499577,0.0001433022,0.9822166,0.01282797,0.0001112055,0.003430845,0.0002052921],"study_design_scores_gemma":[0.0003134153,0.00001884892,0.0002687167,0.000005292195,0.00003169918,0.00001020046,0.00004616594,0.9944589,0.000408079,0.0006585738,0.003630597,0.0001494907],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2726699,0.00002905243,0.7259752,0.0001133289,0.0004580932,0.0002012889,0.000234145,0.00007668308,0.0002423304],"genre_scores_gemma":[0.9948478,0.000001499119,0.004671302,0.0001307106,0.00003820704,0.00005890085,0.0001263229,0.00003693486,0.00008831741],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.722178,"threshold_uncertainty_score":0.571996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009092293461165173,"score_gpt":0.2170013369726626,"score_spread":0.2079090435114974,"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."}}