{"id":"W4388342207","doi":"10.1016/j.advwatres.2023.104571","title":"Modeling density-driven flow and solute transport in heterogeneous reservoirs with micro/macro fractures","year":2023,"lang":"en","type":"article","venue":"Advances in Water Resources","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Mechanics; Geology; Macro; Anisotropy; Permeability (electromagnetism); Conservation of mass; Pressure gradient; Geotechnical engineering; Porous medium; Fracture (geology); Finite element method; Porosity; Physics; Thermodynamics; Chemistry","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":[0.0003651736,0.0004995646,0.0005949762,0.0005854975,0.0006231165,0.001075528,0.001286913,0.0018105,0.001064771],"category_scores_gemma":[0.001540399,0.0006491598,0.0007133805,0.0005371998,0.00122615,0.001017898,0.0009562278,0.0007805378,0.0001008755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001627679,"about_ca_system_score_gemma":0.001576614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04695362,"about_ca_topic_score_gemma":0.0207587,"domain_scores_codex":[0.9998658,0.00002761343,0.000008900841,0.00003105395,0.00002380628,0.00004280793],"domain_scores_gemma":[0.9994031,0.000337828,0.00008385213,0.00002894129,0.00007315624,0.00007306198],"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":[0.00001871115,0.00003579947,0.001000428,0.00001052411,0.0000123718,0.00003752983,0.000009395826,0.9954461,0.0007883969,0.001919195,0.00006695082,0.0006546423],"study_design_scores_gemma":[0.000003433974,0.000002914051,0.0001225383,6.455084e-7,0.000001421908,0.000002429168,0.000004278842,0.999521,0.00009170351,0.0002267317,0.00002099993,0.000001898353],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9349588,0.000482229,0.05473447,0.000698588,0.00008825718,0.00006862204,0.0003881717,0.0002075066,0.008373357],"genre_scores_gemma":[0.9934046,0.0001432993,0.004189043,0.00003579077,0.0000207529,0.00002923649,0.0000791462,0.00002485214,0.002073359],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04695362,"threshold_uncertainty_score":0.09336066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005793895421456825,"score_gpt":0.2161409697130342,"score_spread":0.2103470742915774,"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."}}