{"id":"W4412529441","doi":"10.1016/j.renene.2025.123979","title":"Regenerative hydrogen energy storage modelling for northern microgrid energy design","year":2025,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Yukon University; University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Microgrid; Energy storage; Hydrogen storage; Energy (signal processing); Environmental science; Hydrogen fuel; Nuclear engineering; Hydrogen; Computer science; Process engineering; Renewable energy; Engineering; Electrical engineering; Chemistry; Fuel cells; Chemical engineering; Thermodynamics; Physics; Power (physics)","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"category_scores_codex":[0.0007558248,0.001304694,0.001541728,0.001007348,0.0009201539,0.0002836399,0.001398248,0.0007673652,0.0001210386],"category_scores_gemma":[0.0001107191,0.001324215,0.0007722091,0.001659667,0.0002157396,0.0004576653,0.0003211177,0.0001935618,0.00001492622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001029942,"about_ca_system_score_gemma":0.001122039,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.248461,"about_ca_topic_score_gemma":0.0759013,"domain_scores_codex":[0.9927405,0.0008766862,0.001617421,0.002039626,0.0007344976,0.001991346],"domain_scores_gemma":[0.9955107,0.0007681104,0.0006040117,0.001901674,0.0006965811,0.0005189111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002815247,0.0002037358,0.00001345116,0.00005349889,0.0007614035,0.00005116746,0.00007915224,0.8676347,0.03680338,0.07406251,0.01159963,0.00845581],"study_design_scores_gemma":[0.0009888202,0.000101839,1.989046e-7,0.0001102649,0.0001011036,0.00001752602,0.00006701086,0.3243622,0.3019715,0.007978799,0.3636263,0.00067433],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002168312,0.01162894,0.9554498,0.0002185962,0.001958932,0.0002526863,0.00006541595,0.0007594048,0.02749796],"genre_scores_gemma":[0.7502002,0.001611628,0.01582894,0.001658025,0.002367862,0.002190292,0.0008326012,0.0005634196,0.2247471],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9396208,"threshold_uncertainty_score":0.9999704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02034631314697058,"score_gpt":0.2259912382983366,"score_spread":0.205644925151366,"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."}}