{"id":"W4407614018","doi":"10.1016/j.ijhydene.2025.02.161","title":"Impact of well flow dynamics and formation characteristics on underground hydrogen storage in aquifers","year":2025,"lang":"en","type":"article","venue":"International Journal of Hydrogen Energy","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Computer Modelling Group; Louisiana State University","keywords":"Aquifer; Hydrogen storage; Flow (mathematics); Environmental science; Petroleum engineering; Chemistry; Geology; Groundwater; Hydrogen; Mechanics; Geotechnical engineering; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001981636,0.0001687702,0.0002724173,0.0003525793,0.0003312035,0.0007060522,0.0002131923,0.000344631,0.001395401],"category_scores_gemma":[0.0008964643,0.0001654693,0.0001924344,0.0003875609,0.000490203,0.0007927186,0.0002586907,0.0002333264,0.00009145265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008575864,"about_ca_system_score_gemma":0.0005644807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01321543,"about_ca_topic_score_gemma":0.01257212,"domain_scores_codex":[0.9999058,0.00001474312,0.000005989937,0.00002012776,0.00001242753,0.00004093297],"domain_scores_gemma":[0.9994717,0.0003123073,0.00005270015,0.00002408097,0.00007688242,0.00006242032],"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":[0.003069673,0.0006719498,0.3199012,0.0001067779,0.00009724492,0.001438542,0.0003126647,0.4956097,0.1547378,0.001742918,0.0006265758,0.02168506],"study_design_scores_gemma":[0.00009635973,0.0006379698,0.2966699,0.00001439547,0.00006658476,0.0001451385,0.001265172,0.6339515,0.0658574,0.0007734778,0.0004479988,0.00007402827],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995308,0.000008571558,0.0001681778,0.00001109005,0.00000119374,0.000001437183,0.00005006475,0.000009793414,0.0002189405],"genre_scores_gemma":[0.9998788,0.000005982126,0.00001765897,7.73036e-7,1.940904e-7,4.149873e-7,0.00002077983,0.00000150185,0.00007387507],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01321543,"threshold_uncertainty_score":0.02627701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004429134339147242,"score_gpt":0.2319242791509163,"score_spread":0.227495144811769,"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."}}