{"id":"W2322737948","doi":"10.1021/ie302161n","title":"Energy Hub Based on Nuclear Energy and Hydrogen Energy Storage","year":2013,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Energy storage; Renewable energy; Sizing; Electricity; Environmental science; Pumped-storage hydroelectricity; Electricity generation; Nuclear power; Wind power; Grid energy storage; Energy carrier; Hydrogen fuel; Hydrogen storage; Process engineering; Distributed generation; Power (physics); Engineering; Hydrogen; Electrical engineering; Fuel cells; Chemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001646246,0.0005149895,0.0004732312,0.0004361309,0.0004855028,0.0008176893,0.0008247144,0.0004978692,0.01071647],"category_scores_gemma":[0.0002408952,0.0002952312,0.0004798529,0.0006569633,0.0004067436,0.001317702,0.0005677579,0.0003342387,0.001086339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007748451,"about_ca_system_score_gemma":0.0007428696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003250844,"about_ca_topic_score_gemma":0.004515482,"domain_scores_codex":[0.9998791,0.0000210645,0.000003991323,0.00002861277,0.00003745154,0.0000298438],"domain_scores_gemma":[0.9998927,0.00003143518,0.0000116348,0.00001559464,0.00003322361,0.00001528389],"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":[0.0005849836,0.0001295383,0.002242161,0.0002077889,0.0000448921,0.0009097425,0.00005211768,0.9096312,0.01607623,0.03798341,0.002761932,0.02937596],"study_design_scores_gemma":[0.0000580115,0.0002636567,0.001597634,0.00002321191,0.00004341717,0.0002017926,0.00006881944,0.9693943,0.01257746,0.007415331,0.008329381,0.00002695584],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4890918,0.00116857,0.3705841,0.0003528188,0.000318172,0.0002486207,0.001399068,0.002111363,0.1347255],"genre_scores_gemma":[0.9725736,0.0003185486,0.01015429,0.0000168202,0.00001235151,0.00004909322,0.0002527822,0.00002952313,0.01659285],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01071647,"threshold_uncertainty_score":0.03585017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02471955271118827,"score_gpt":0.2289556027763314,"score_spread":0.2042360500651431,"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."}}