{"id":"W4232678205","doi":"10.1149/ma2008-02/11/1122","title":"Numerical Investigation on the Transport in a PEMFC using a Microstructure Reconstruction Technique","year":2008,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Microstructure; Materials science; Proton exchange membrane fuel cell; Nuclear engineering; Computer science; Mechanics; Composite material; Fuel cells; Engineering; Physics; Chemical engineering","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":[0.0002869151,0.0002449508,0.00028411,0.0002927286,0.0003496645,0.0003330396,0.0004574792,0.0008585632,0.00225642],"category_scores_gemma":[0.001058475,0.0001652434,0.0002627113,0.0003722036,0.000366581,0.000383106,0.0001913267,0.0003161697,0.0001663472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003945102,"about_ca_system_score_gemma":0.0005395146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008402522,"about_ca_topic_score_gemma":0.004427533,"domain_scores_codex":[0.9999487,0.0000139986,0.000002557038,0.000005812644,0.00001844709,0.00001050434],"domain_scores_gemma":[0.9996471,0.0002061056,0.00003030153,0.00002982233,0.00007078607,0.00001585451],"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":[0.0001274142,0.00009258651,0.001555108,0.0001157514,0.00002106538,0.0002310965,0.00005949171,0.9526154,0.02681789,0.01008144,0.0006217794,0.007660978],"study_design_scores_gemma":[0.000005783204,0.00001228432,0.0002046406,0.000002426899,0.000001745099,0.00001486276,0.000005095966,0.9983229,0.00114527,0.0001735832,0.0001089828,0.000002340906],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.794217,0.000693461,0.1801412,0.001052132,0.0001132153,0.0001341778,0.0006460525,0.0005893875,0.02241328],"genre_scores_gemma":[0.9551185,0.0002026771,0.04169929,0.00003494449,0.00001400793,0.00004272922,0.0001683635,0.00004956,0.002669889],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008402522,"threshold_uncertainty_score":0.01670724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01875407242975697,"score_gpt":0.2004513456956621,"score_spread":0.1816972732659052,"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."}}