{"id":"W2022424144","doi":"10.1016/j.ijhydene.2009.02.066","title":"Development of some exergetic parameters for PEM fuel cells for measuring environmental impact and sustainability","year":2009,"lang":"en","type":"article","venue":"International Journal of Hydrogen Energy","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":192,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ontario Institute of Technology","funders":"Natural Sciences and Engineering Research Council of Canada; Niğde Üniversitesi","keywords":"Exergy; Sustainability; Environmental Sustainability Index; Environmental science; Sustainable development; Index (typography); Exergy efficiency; Environmental impact assessment; Waste management; Environmental economics; Process engineering; Engineering; Computer science; Economics; Ecology","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":[0.0001934809,0.0001074398,0.0001877376,0.000105363,0.00001879094,0.00001842188,0.000136699,0.00005290536,0.000008778407],"category_scores_gemma":[0.00001384807,0.00008987906,0.000129384,0.00001390017,0.00001936433,0.0001186391,0.00001319463,0.00003702228,1.526175e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002229348,"about_ca_system_score_gemma":0.00004127251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001983912,"about_ca_topic_score_gemma":5.286524e-7,"domain_scores_codex":[0.9991712,0.000008224508,0.0004350983,0.00007449967,0.0001763268,0.0001346794],"domain_scores_gemma":[0.9996354,0.00004313848,0.0001405191,0.00004588223,0.00007002131,0.00006502603],"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":[0.0003811426,0.0001711631,0.0000631892,0.0002343804,0.0008091356,0.00001607132,0.000654232,0.3400696,0.6414089,0.0001569224,0.00009317756,0.01594212],"study_design_scores_gemma":[0.001317584,0.0002281567,0.0002705663,0.000055675,0.00004878285,0.00005761272,0.00008798372,0.009827673,0.9754484,0.006995633,0.00547577,0.0001861469],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943554,0.002302619,0.002787138,0.00003561553,0.0003875582,0.00007908761,0.00002109666,0.000007529743,0.00002398917],"genre_scores_gemma":[0.9940608,0.0005726168,0.005230235,0.00001345002,0.00008370217,0.000004320512,0.000006657064,0.00001345948,0.00001482294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3340396,"threshold_uncertainty_score":0.3665162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0081303338107141,"score_gpt":0.2187799696585696,"score_spread":0.2106496358478555,"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."}}