{"id":"W2043063333","doi":"10.1016/j.ijheatmasstransfer.2014.11.078","title":"Practical finite analytic methods for simulation of solute transport with scale-dependent dispersion under advection-dominated conditions","year":2015,"lang":"en","type":"article","venue":"International Journal of Heat and Mass Transfer","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Advection; Péclet number; Dispersion (optics); Scale (ratio); Convection–diffusion equation; Mechanics; Applied mathematics; Finite difference method; Computer science; Statistical physics; Physics; Mathematics; Thermodynamics","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":[0.0008845225,0.0007525133,0.0007709735,0.0006791529,0.001030408,0.0009214858,0.00195365,0.00183235,0.003084746],"category_scores_gemma":[0.005045283,0.0005721503,0.0005628979,0.0006921429,0.001189836,0.0009881355,0.001199153,0.001673949,0.0004507457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009229959,"about_ca_system_score_gemma":0.001229616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01018714,"about_ca_topic_score_gemma":0.006352241,"domain_scores_codex":[0.999777,0.00009800542,0.00001327536,0.00002288925,0.00006387329,0.0000249832],"domain_scores_gemma":[0.9975425,0.001836299,0.0001050583,0.0001336189,0.0002998659,0.00008266068],"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":[0.00004515673,0.00005831907,0.0003374054,0.00005136603,0.00001136222,0.00004292034,0.00007209113,0.9764727,0.001448805,0.01363803,0.0003589381,0.007462958],"study_design_scores_gemma":[0.000005376121,0.000003286736,0.00001019069,0.000001808002,7.460842e-7,0.000002073039,0.000003944253,0.9985683,0.0001301137,0.001152457,0.0001203723,0.000001434474],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05182579,0.0002547844,0.9392201,0.0003025964,0.00008729365,0.0001021281,0.0001482626,0.0006630721,0.007395891],"genre_scores_gemma":[0.6605129,0.0002500349,0.3326384,0.0001433625,0.00005943983,0.000486715,0.0002290018,0.0004684801,0.00521166],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01018714,"threshold_uncertainty_score":0.02025568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03318008935383185,"score_gpt":0.3472107086078938,"score_spread":0.3140306192540619,"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."}}