{"id":"W4410911276","doi":"10.1016/j.ijhydene.2025.05.363","title":"Energy transition in smart grids: Combining hydrogen, methanation and electric vehicles for sustainable heat and power","year":2025,"lang":"en","type":"article","venue":"International Journal of Hydrogen Energy","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"University of Alberta","keywords":"Methanation; Power to gas; Sustainable energy; Energy transition; Hydrogen fuel; Hydrogen; Environmental science; Electric power; Power (physics); Renewable energy; Materials science; Automotive engineering; Chemistry; Thermodynamics; Electrical engineering; Physics; Engineering; Physical chemistry; Electrode","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":[0.0002052058,0.0002022692,0.0001958272,0.0001389295,0.0002498464,0.001072236,0.000319011,0.0003946644,0.005160613],"category_scores_gemma":[0.0002503349,0.00008518202,0.0002038499,0.0002003398,0.0005570318,0.002433924,0.001030175,0.0005234924,0.0005273992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003608466,"about_ca_system_score_gemma":0.0004623971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006866254,"about_ca_topic_score_gemma":0.001308364,"domain_scores_codex":[0.9999211,0.00001759377,0.000002402165,0.00001347559,0.00002174023,0.00002380285],"domain_scores_gemma":[0.9999321,0.00002140264,0.000007612388,0.000009363005,0.00001443123,0.00001507249],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001620372,0.0005787887,0.008212356,0.0009013086,0.0001376758,0.0009403747,0.0007228031,0.07397406,0.07909556,0.4506509,0.02633839,0.3568273],"study_design_scores_gemma":[0.0001948514,0.0009941511,0.006389794,0.0003117203,0.0001253691,0.0007177579,0.005213992,0.2183232,0.1045105,0.47671,0.1864263,0.00008234013],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6173377,0.01241622,0.1890316,0.0174412,0.001886471,0.00012848,0.0003504066,0.001463103,0.1599449],"genre_scores_gemma":[0.987141,0.001814121,0.005267455,0.0002393826,0.00006631624,0.000009074955,0.00004481326,0.00002678146,0.005390984],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005160613,"threshold_uncertainty_score":0.01726395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006237841213293782,"score_gpt":0.2374414517168801,"score_spread":0.2312036105035863,"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."}}