{"id":"W4391099384","doi":"10.3390/su16020896","title":"Parametric Study and Optimization of Hydrogen Production Systems Based on Solar/Wind Hybrid Renewable Energies: A Case Study in Kuqa, China","year":2024,"lang":"en","type":"article","venue":"Sustainability","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"National Key Research and Development Program of China; Higher Education Discipline Innovation Project; Natural Science Foundation of Hubei Province; Ministry of Education of the People's Republic of China; National Natural Science Foundation of China","keywords":"Renewable energy; Grid; Hydrogen production; Wind power; Environmental science; Process engineering; Computer science; Automotive engineering; Engineering; Hydrogen; Electrical engineering; Mathematics; 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":[0.0005405168,0.0005458525,0.0004742176,0.0005168281,0.0005566754,0.0007996742,0.0005938241,0.0006314983,0.001183049],"category_scores_gemma":[0.0005255613,0.0002943961,0.000636651,0.0005065394,0.0004810117,0.0004220985,0.000487968,0.0002530333,0.0000730164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001258329,"about_ca_system_score_gemma":0.0007879185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02809958,"about_ca_topic_score_gemma":0.02380311,"domain_scores_codex":[0.9997885,0.0000592181,0.000009125022,0.00002688488,0.00005124645,0.00006505088],"domain_scores_gemma":[0.9997738,0.0001232022,0.00002812964,0.00001843895,0.00003676029,0.00001973095],"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":[0.0001131406,0.00008319805,0.003112542,0.00006694299,0.00003652009,0.0006854698,0.00005128088,0.985347,0.004833674,0.0008218506,0.0001846969,0.004663653],"study_design_scores_gemma":[0.00004473938,0.0002666088,0.005923933,0.000005036473,0.00004192319,0.00005635574,0.0001794802,0.9885821,0.003929625,0.0004734785,0.0004798564,0.00001701505],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902434,0.00007488625,0.004828843,0.00005516634,0.00000691285,0.00004236646,0.00009437232,0.00004073868,0.004613193],"genre_scores_gemma":[0.9989144,0.00002503908,0.0005376301,0.000001985879,7.730612e-7,0.0000108377,0.00002186292,0.000002699201,0.0004849247],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02809958,"threshold_uncertainty_score":0.05587208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0103012770829527,"score_gpt":0.2573801817234436,"score_spread":0.2470789046404909,"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."}}