{"id":"W2571862977","doi":"10.1021/acs.iecr.6b02861","title":"Integration of Decentralized Energy Systems with Utility-Scale Energy Storage through Underground Hydrogen–Natural Gas Co-Storage Using the Energy Hub Approach","year":2017,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Energy storage; Hydrogen storage; Natural gas; Energy (signal processing); Natural gas storage; Environmental science; Scale (ratio); Process engineering; Computer science; Hydrogen; Waste management; Chemistry; Engineering; Thermodynamics; Physics; Power (physics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001522404,0.0006944437,0.0009709224,0.0001697659,0.000934861,0.0006685134,0.001985097,0.0007530819,0.00005892999],"category_scores_gemma":[0.0004589891,0.0005380744,0.0002508805,0.000691382,0.0006884825,0.0005688851,0.0003578968,0.001167792,0.000001284513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009404178,"about_ca_system_score_gemma":0.0006485757,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0730032,"about_ca_topic_score_gemma":0.0004842857,"domain_scores_codex":[0.9940901,0.000577794,0.0009927031,0.0009934523,0.001925648,0.00142033],"domain_scores_gemma":[0.9956875,0.0004520099,0.0005679528,0.002438094,0.0005148722,0.0003395602],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002922257,0.000138858,0.000058064,0.0001333598,0.0003874248,0.00006233765,0.0001541845,0.3955431,0.5985944,0.003273743,0.0005687277,0.0007935509],"study_design_scores_gemma":[0.001679645,0.00005243872,0.000006079465,0.0003486589,0.00005413766,0.0001629658,0.0005545116,0.3254741,0.6256646,0.00004036615,0.04544863,0.0005139278],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9426289,0.003791761,0.03057438,0.000155158,0.002000735,0.0005576648,0.0001112452,0.0004475031,0.01973263],"genre_scores_gemma":[0.993893,0.0001373938,0.0001192158,0.000005858625,0.001878123,0.0001615068,0.0002324865,0.0001794557,0.003392929],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07251891,"threshold_uncertainty_score":0.9997071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1032607082216632,"score_gpt":0.3205345673852583,"score_spread":0.2172738591635952,"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."}}