{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003201142,0.0003949697,0.0003340002,0.0002957672,0.0001283256,0.0002150489,0.0003925748,0.0007107988,0.000444759],"category_scores_gemma":[0.000154012,0.0004245872,0.00007579022,0.0007141103,0.00007333358,0.0001868311,0.00008126836,0.0006628694,0.00001807348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004323362,"about_ca_system_score_gemma":0.00007867012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001179328,"about_ca_topic_score_gemma":0.00000603804,"domain_scores_codex":[0.99759,0.0000727298,0.0003949226,0.0004578417,0.0006592993,0.0008252034],"domain_scores_gemma":[0.9986327,0.000214962,0.00003559723,0.0005445863,0.0001989498,0.0003731694],"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":[0.00001461415,0.00002350949,0.000004524677,0.00003847183,0.00005211425,0.00001963678,0.00001559026,0.6914607,0.2976964,0.0005794736,0.007623058,0.002471891],"study_design_scores_gemma":[0.0004821099,0.00003912146,0.000001896171,0.0001109862,0.000005093646,0.000009323395,0.00002225196,0.7006016,0.2361509,0.00001225939,0.06225717,0.0003073215],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8491735,0.001731548,0.01219059,0.000900247,0.002461036,0.0008253587,0.0001468831,0.00617629,0.1263945],"genre_scores_gemma":[0.9968041,0.00005750583,0.00005803861,0.00002591105,0.0009244565,0.000157498,0.00006958604,0.0001930403,0.001709849],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1476306,"threshold_uncertainty_score":0.9998206,"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."}}