{"id":"W4412981399","doi":"10.1016/j.renene.2025.124112","title":"Design and analysis of an integrated renewable hydrogen production and storage system for hydrogen refueling station in a sustainable community","year":2025,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ontario Institute of Technology","funders":"","keywords":"Hydrogen production; Hydrogen storage; Renewable energy; Production (economics); Environmental science; Hydrogen; Waste management; Environmental economics; Engineering; Electrical engineering; Chemistry; Economics","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":[0.002901305,0.0004073212,0.001061185,0.001954676,0.0004463662,0.00009412665,0.0003143717,0.0002775323,0.000005169691],"category_scores_gemma":[0.000418876,0.0004161529,0.0001114793,0.003396502,0.0001163634,0.0005423119,0.0001374597,0.0001563727,1.39474e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00070158,"about_ca_system_score_gemma":0.0003444617,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5276533,"about_ca_topic_score_gemma":0.09524263,"domain_scores_codex":[0.9956769,0.001678284,0.001004899,0.0007186504,0.0002757089,0.0006455309],"domain_scores_gemma":[0.9976622,0.0004096655,0.0004171004,0.0009018696,0.0004502015,0.0001589443],"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":[0.0003110684,0.0001429313,0.0003548716,0.0005868106,0.0007688154,0.00001080733,0.0005133774,0.9472797,0.0462554,0.002439961,0.00005469114,0.001281579],"study_design_scores_gemma":[0.0009790042,0.0002005403,0.00006896673,0.0003439416,0.0007020188,0.00001011419,0.006560714,0.6859123,0.2992042,0.001120004,0.004511987,0.0003861736],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.834452,0.001600285,0.1614483,0.00003333779,0.0001643025,0.0005971902,0.00002304703,0.0002163508,0.001465244],"genre_scores_gemma":[0.9859768,0.0001334434,0.003609626,0.00002246195,0.00004302735,0.0003670668,0.0004656913,0.00006315014,0.009318694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4324107,"threshold_uncertainty_score":0.9998291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0149683951440466,"score_gpt":0.245276728072334,"score_spread":0.2303083329282874,"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."}}