{"id":"W3176975223","doi":"10.1029/2021wr030366","title":"A Semi‐Analytical Solution to Evaluate the Spatiotemporal Behavior of Diffusive Pressure Plume and Leakage From Geological Storage Sites","year":2021,"lang":"en","type":"article","venue":"Water Resources Research","topic":"CO2 Sequestration and Geologic Interactions","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; University of Calgary","keywords":"Plume; Caprock; Laplace transform; Scaling; Leakage (economics); Dimensionless quantity; Gaussian; Geology; Computer science; Mechanics; Applied mathematics; Statistical physics; Petroleum engineering; Mathematical optimization; Geophysics; Soil science; Mathematics; Physics; Thermodynamics; Mathematical analysis; Geometry","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006786244,0.00009192817,0.0001334449,0.00004238067,0.0002773257,0.00006417419,0.0002073139,0.00008556378,0.01069411],"category_scores_gemma":[0.0001872912,0.00005219742,0.00004517281,0.0001714662,0.0004845786,0.0000845441,0.0007261452,0.0003474023,0.0002847695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004583305,"about_ca_system_score_gemma":0.00001021521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002336881,"about_ca_topic_score_gemma":0.00141561,"domain_scores_codex":[0.9978957,0.0006010624,0.0001961627,0.0003503816,0.0006433916,0.0003133066],"domain_scores_gemma":[0.9993116,0.0001980626,0.00001963726,0.0002783067,0.00007713416,0.0001152323],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002814724,0.0005519807,0.2825432,0.00001736393,0.00008696719,0.0001962815,0.02030112,0.001908711,0.6841734,0.0001286225,0.006708131,0.003102724],"study_design_scores_gemma":[0.0005337541,0.0004577844,0.7718485,0.00002561869,0.00009981615,0.00003666595,0.002117278,0.02217939,0.06685356,0.001131901,0.1344521,0.0002636205],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919639,0.00007396102,0.0001098517,0.005047663,0.00002058417,0.0002822154,0.00002393393,0.00001389576,0.002464003],"genre_scores_gemma":[0.992416,0.00001032351,0.0001255939,0.0001141978,0.00004654354,0.00005104475,0.00003763097,0.000005344427,0.007193325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6173198,"threshold_uncertainty_score":0.9902102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07149747419596623,"score_gpt":0.3560949344528272,"score_spread":0.284597460256861,"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."}}