{"id":"W4321768214","doi":"10.1016/j.enconman.2023.116808","title":"Development and evaluation of a solar based integrated hydrogen energy system for mobile applications","year":2023,"lang":"en","type":"article","venue":"Energy Conversion and Management","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Process engineering; Hydrogen production; Exergy; Modular design; Water cooling; Environmental science; Electricity; Electricity generation; Energy transformation; Proton exchange membrane fuel cell; Primary energy; Hydrogen fuel; Efficient energy use; Solar energy; Waste management; Hydrogen; Environmental engineering; Engineering; Mechanical engineering; Computer science; Chemistry; Power (physics); Thermodynamics; Chemical engineering; Electrical engineering; Fuel cells","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":[0.0003227819,0.0002432994,0.000328929,0.0002309973,0.0003617437,0.0004639043,0.0006231038,0.0004146589,0.00210796],"category_scores_gemma":[0.0002053103,0.0001166447,0.0003211413,0.0001917132,0.0001794226,0.0004717096,0.0002644899,0.0002760063,0.0004419037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004872479,"about_ca_system_score_gemma":0.0005924869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002219954,"about_ca_topic_score_gemma":0.002751262,"domain_scores_codex":[0.9998519,0.0000185661,0.000004799242,0.00002358241,0.00008133809,0.00001987351],"domain_scores_gemma":[0.9998854,0.00001284806,0.000007598217,0.0000102814,0.00006619587,0.00001769169],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001162216,0.0009102409,0.006764036,0.0006575157,0.0001330972,0.0005381862,0.0002261705,0.02511094,0.8233379,0.001863625,0.002749152,0.136547],"study_design_scores_gemma":[0.0002311861,0.006787107,0.01318055,0.00003152915,0.0001484131,0.0003428218,0.0003030713,0.07454572,0.8802856,0.000338245,0.02376684,0.00003889782],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9590392,0.0007756072,0.02946102,0.0001971182,0.0001139928,0.00046783,0.0004333122,0.000397843,0.009114255],"genre_scores_gemma":[0.9798554,0.0003687409,0.01245457,0.0000398489,0.00001014546,0.0001012219,0.000251071,0.00003015478,0.006888698],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002219954,"threshold_uncertainty_score":0.007051766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01866906567584909,"score_gpt":0.2378940334573214,"score_spread":0.2192249677814724,"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."}}