{"id":"W2968234090","doi":"10.1016/j.apenergy.2019.113659","title":"Spatially resolved degradation during startup and shutdown in polymer electrolyte membrane fuel cell operation","year":2019,"lang":"en","type":"article","venue":"Applied Energy","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":53,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Los Alamos National Laboratory; Office of Energy Efficiency; Hydrogen and Fuel Cell Technologies Office; U.S. Department of Energy; Ballard Power Systems; Office of Energy Efficiency and Renewable Energy; Centre National de la Recherche Scientifique","keywords":"Anode; Cathode; Materials science; Electrolyte; Membrane electrode assembly; Platinum; Degradation (telecommunications); Shutdown; Proton exchange membrane fuel cell; Electrode; Chemical engineering; Durability; Composite material; Waste management; Nuclear engineering; Catalysis; Chemistry; Electrical engineering; Fuel cells; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005788335,0.0001399754,0.0001624243,0.00008960736,0.00002432414,0.0000418955,0.00005489792,0.000126126,0.0001460465],"category_scores_gemma":[5.834382e-7,0.0001352363,0.00001472183,0.00008411321,0.00000843805,0.00008254026,0.00001910089,0.00008159786,0.00003107453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003476411,"about_ca_system_score_gemma":0.000009747551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001794452,"about_ca_topic_score_gemma":0.0001338794,"domain_scores_codex":[0.9992926,0.00001130922,0.0002065112,0.0001829441,0.00008997147,0.000216672],"domain_scores_gemma":[0.9997818,0.00001295665,0.00002371293,0.0001345622,0.000006472535,0.00004046804],"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":[0.00004070286,0.00001247495,0.00001667702,0.0002307905,0.0000104031,0.000002021112,0.00008346992,0.05271292,0.9458552,0.0007083331,0.00001073448,0.0003162911],"study_design_scores_gemma":[0.0009909391,0.00002304722,0.0001683027,0.00001249298,0.000008097781,0.000001558081,0.00001430986,0.014147,0.9830697,0.00007994298,0.001281448,0.000203207],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9521082,0.002354522,0.0001294311,0.00001778502,0.0001833506,0.0001163413,0.000002054428,0.0001138166,0.04497452],"genre_scores_gemma":[0.996656,0.002224825,0.0001437198,0.00003052,0.00005348929,0.00002222306,0.00004946109,0.00003762283,0.0007821394],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04454782,"threshold_uncertainty_score":0.5514776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002433118028739791,"score_gpt":0.1494945513900302,"score_spread":0.1470614333612904,"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."}}