{"id":"W4315700951","doi":"10.3390/su15021448","title":"Lumped Parameter Modeling of SAE J2601 Hydrogen Fueling Tests","year":2023,"lang":"en","type":"article","venue":"Sustainability","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Natural Science Foundation of Liaoning Province; National Natural Science Foundation of China","keywords":"Compressed hydrogen; Hydrogen; Storage tank; Mechanics; Hydrogen storage; Thermodynamics; Heat transfer; Materials science; Mass transfer; MATLAB; Chemistry; Physics; Computer science","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":[0.001381071,0.0002748339,0.0005199101,0.0002559264,0.0001302703,0.00003032081,0.0003880251,0.0001752069,0.00007947136],"category_scores_gemma":[0.003377213,0.0002648453,0.0002484896,0.001072271,0.0001187466,0.0001782921,0.0002297456,0.0001804996,0.00005467565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00064659,"about_ca_system_score_gemma":0.0004398363,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01216428,"about_ca_topic_score_gemma":0.001249504,"domain_scores_codex":[0.9970415,0.0003225804,0.0007938629,0.0006144141,0.0004505676,0.0007770935],"domain_scores_gemma":[0.9974816,0.000378249,0.0001087863,0.001108317,0.0007538719,0.0001692139],"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":[0.00003375308,0.0000720895,0.006741263,0.00050751,0.00006886642,0.00004362154,0.000638913,0.981146,0.001952735,0.001038529,0.0001013537,0.007655349],"study_design_scores_gemma":[0.0005623664,0.00006517987,0.00151272,0.00004652196,0.00003858664,0.000007829516,0.002157224,0.943062,0.005477549,0.04389795,0.002765785,0.0004062759],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950038,0.0001187062,0.000650344,0.0002395853,0.0003044632,0.0003570283,0.000006462228,0.0005356325,0.002783999],"genre_scores_gemma":[0.9978179,0.000009716483,0.0001507139,0.00002525932,0.0001594189,0.00009551351,0.0000324133,0.00006499546,0.001644066],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04285942,"threshold_uncertainty_score":0.9999804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02044328517804732,"score_gpt":0.2735111220211697,"score_spread":0.2530678368431223,"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."}}