{"id":"W4392214829","doi":"10.1016/j.fuel.2024.131315","title":"Optimal estimation of MC parameter in SAE J2601 hydrogen refuelling protocol based on modified formula and artificial neural networks","year":2024,"lang":"en","type":"article","venue":"Fuel","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Danish Agency for Science and Higher Education; China Scholarship Council; Ministry of Science and Technology of the People's Republic of China; Ministry of Education of the People's Republic of China; National Natural Science Foundation of China","keywords":"Latin hypercube sampling; Artificial neural network; Sobol sequence; Sensitivity (control systems); Genetic algorithm; Algorithm; Applied mathematics; Computer science; Estimation theory; Approximation error; Mathematics; Statistics; Mathematical optimization; Monte Carlo method; Engineering; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.001424996,0.0001226104,0.0002648557,0.00036583,0.0000547968,0.0001789273,0.0001904298,0.00009784316,0.00006438438],"category_scores_gemma":[0.0004136241,0.00008837885,0.0001261833,0.0008087436,0.00005704207,0.0002363289,0.00003584902,0.0001727084,0.00001887388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002098178,"about_ca_system_score_gemma":0.00003015324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003317188,"about_ca_topic_score_gemma":0.00005712838,"domain_scores_codex":[0.998058,0.0001428863,0.0006529255,0.0003851821,0.000569514,0.0001915539],"domain_scores_gemma":[0.9985488,0.0009355017,0.0001128284,0.0002940199,0.00005019546,0.00005866638],"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":[0.000152173,0.00003338495,0.0003538651,0.00001888073,0.000006220263,0.000009681905,0.0001458499,0.9017626,0.00005340533,0.0002771404,0.00003669703,0.09715008],"study_design_scores_gemma":[0.0002070454,0.00009944671,0.001308348,0.00004162155,0.00001441477,0.00000107129,0.0000360742,0.9838126,0.0002673358,0.0139759,0.0001479911,0.00008818972],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7997999,0.00009107487,0.1868813,0.0007555244,0.0001516529,0.01113328,0.00001471941,0.00006005246,0.001112511],"genre_scores_gemma":[0.9950651,0.00000234995,0.003020457,0.0000516388,0.00004989714,0.00174591,0.000006078813,0.000009164079,0.00004938956],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1952653,"threshold_uncertainty_score":0.3603985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07795978799368847,"score_gpt":0.3756439291191416,"score_spread":0.2976841411254531,"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."}}