{"id":"W2997952565","doi":"10.1115/1.4045831","title":"Determination of Dynamic Dispersion Coefficient for Solid Particles Flowing in a Fracture With Consideration of Gravity Effect","year":2019,"lang":"en","type":"article","venue":"Journal of Energy Resources Technology","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Line source; Mechanics; Dispersion (optics); Settling; Point source; Particle (ecology); Diffusion; Hagen–Poiseuille equation; Advection; Flow (mathematics); Physics; Mathematical analysis; Mathematics; Thermodynamics; Optics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003817076,0.0004007437,0.0003552056,0.0005860871,0.0003060195,0.000324649,0.0005180138,0.0006554055,0.0004063561],"category_scores_gemma":[0.0009541406,0.0001607347,0.0004530546,0.0003174528,0.0003787184,0.0004745389,0.0003459555,0.0004002963,0.00008557551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003681489,"about_ca_system_score_gemma":0.0006760471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005026978,"about_ca_topic_score_gemma":0.002951137,"domain_scores_codex":[0.9998688,0.0000128677,0.00001005759,0.00002836508,0.00006251906,0.00001745531],"domain_scores_gemma":[0.9996904,0.0001327685,0.00005209444,0.00002422658,0.00008678429,0.00001374237],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007535265,0.00009969865,0.01053487,0.0001360677,0.00002884998,0.0005244943,0.0001143724,0.7937354,0.16023,0.00613605,0.0002997559,0.02808523],"study_design_scores_gemma":[0.000003155783,0.00001539706,0.0006189696,0.000002056011,0.000002621551,0.00002148215,0.000007898089,0.9899885,0.009034757,0.0002160713,0.00008213696,0.000006977953],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5886829,0.0002717591,0.4082755,0.0000874367,0.00003290266,0.0000521367,0.0001335396,0.0003121917,0.002151608],"genre_scores_gemma":[0.969514,0.0001104538,0.02958237,0.0000108387,0.000005300683,0.00003262993,0.00007475549,0.00002126257,0.0006483607],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005026978,"threshold_uncertainty_score":0.009995401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002928608971225303,"score_gpt":0.2184960857367384,"score_spread":0.2155674767655131,"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."}}