{"id":"W4382073740","doi":"10.1016/j.ijhydene.2023.06.081","title":"Thermodynamic and heat transfer models for refueling hydrogen vehicles: Formulation, validation and application","year":2023,"lang":"en","type":"article","venue":"International Journal of Hydrogen Energy","topic":"Spacecraft and Cryogenic Technologies","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Fonds de recherche du Québec – Nature et technologies; Key Research and Development Program of Hunan Province of China; Higher Education Discipline Innovation Project; National Key Research and Development Program of China; China Scholarship Council; Natural Science Foundation of Hubei Province; Ministry of Education of the People's Republic of China; National Natural Science Foundation of China","keywords":"Compressed hydrogen; Hydrogen; Hydrogen storage; Storage tank; Heat transfer; Nuclear engineering; Mass transfer; Liquid hydrogen; Materials science; Adiabatic process; Environmental science; Mechanics; Mechanical engineering; Process engineering; Thermodynamics; Chemistry; Engineering; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0001465357,0.00009582132,0.0001175034,0.0002381301,0.0000371344,0.00003040315,0.0001439738,0.000077594,0.000001654686],"category_scores_gemma":[0.00001077749,0.00009025757,0.00005748296,0.00009476568,0.00001985948,0.0002786531,0.00001914416,0.00005528763,6.40897e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005148527,"about_ca_system_score_gemma":0.00001067958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001118963,"about_ca_topic_score_gemma":0.00001075227,"domain_scores_codex":[0.9993424,0.000006764382,0.0002673926,0.0000950488,0.0001787618,0.0001095806],"domain_scores_gemma":[0.999708,0.00004967025,0.00002528632,0.0000652106,0.0001166476,0.00003516709],"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":[0.00005809602,0.00001392374,0.0002240887,0.00002159518,0.0003413059,0.000004568287,0.0003403713,0.5001707,0.4385956,0.01279188,0.0000773624,0.04736055],"study_design_scores_gemma":[0.0004836904,0.00003015704,0.00008757785,0.00002131511,0.00002676366,0.00006155872,0.0000931599,0.8533332,0.1150128,0.02965459,0.001096054,0.00009911416],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8413008,0.0006963069,0.1573859,0.0003041547,0.00008910136,0.00005427419,0.00001105396,0.0001129819,0.00004544692],"genre_scores_gemma":[0.9983141,0.001156627,0.0003144861,0.00002186814,0.0001044353,0.0000218493,0.000027797,0.00002389885,0.00001489567],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3531625,"threshold_uncertainty_score":0.3680597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01118405484801661,"score_gpt":0.2328396629379829,"score_spread":0.2216556080899663,"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."}}