{"id":"W4401012491","doi":"10.1016/j.ijhydene.2024.07.210","title":"Can a hydrodynamic model predict the flow evolution of a hydrogen plume in a depleted natural gas reservoir?","year":2024,"lang":"en","type":"article","venue":"International Journal of Hydrogen Energy","topic":"CO2 Sequestration and Geologic Interactions","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mechanics; Hydrogen; Plume; Petroleum engineering; Natural gas; Environmental science; Work (physics); Liquid hydrogen; Thermodynamics; Geology; Chemistry; Physics; Engineering; Waste management","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":[0.0002622538,0.0004335765,0.0005837103,0.0003559858,0.0003609686,0.001090577,0.0008880808,0.00197125,0.002416905],"category_scores_gemma":[0.001246358,0.0003353927,0.0007105654,0.0002812999,0.0007701713,0.001102569,0.00048388,0.0007097035,0.0004631432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008726589,"about_ca_system_score_gemma":0.001203554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02086077,"about_ca_topic_score_gemma":0.007767277,"domain_scores_codex":[0.9999332,0.00001695287,0.000003357196,0.00001156668,0.00001211826,0.00002275119],"domain_scores_gemma":[0.99976,0.0001016861,0.00003502779,0.00001666122,0.00005007767,0.00003660561],"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":[0.00003543086,0.00003185891,0.002487773,0.0000369769,0.00001273179,0.00009165095,0.00003717235,0.9893449,0.002274296,0.003241458,0.000396734,0.002008994],"study_design_scores_gemma":[0.000007147656,0.000004992048,0.0002242468,0.000002360007,0.000001595463,0.000005513707,0.000009215046,0.9989728,0.00012076,0.0004936049,0.0001548353,0.000002988462],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.712845,0.001312913,0.2487611,0.004909385,0.0003662792,0.0001684454,0.001765123,0.001422867,0.0284489],"genre_scores_gemma":[0.9791654,0.0004956858,0.01457675,0.0003393356,0.00006090505,0.00008028656,0.000517271,0.0001566257,0.00460774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02086077,"threshold_uncertainty_score":0.04147869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007730795876437647,"score_gpt":0.238558139814838,"score_spread":0.2308273439384003,"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."}}