{"id":"W2463307879","doi":"","title":"Fatigue and Mechanical Damage Propagation in Automotive PEM Fuel Cells","year":2015,"lang":"en","type":"dissertation","venue":"TSpace (University of Toronto)","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Glenn Research Center; Iran University of Science and Technology; University of Toronto; National Aeronautics and Space Administration","keywords":"Automotive industry; Membrane electrode assembly; Materials science; Proton exchange membrane fuel cell; Vibration; Finite element method; Electrolyte; Composite material; Humidity; Structural engineering; Fuel cells; Mechanical engineering; Electrode; Engineering; Aerospace engineering; Acoustics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000172003,0.0002779382,0.0002284579,0.0004166484,0.0001734308,0.0002530316,0.0003699547,0.0007013445,0.0005100206],"category_scores_gemma":[0.000332116,0.0002163674,0.0003072087,0.0001700236,0.0002672705,0.0003817284,0.0001714118,0.000259491,0.0001154276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003663211,"about_ca_system_score_gemma":0.0001560085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003095845,"about_ca_topic_score_gemma":0.002115174,"domain_scores_codex":[0.9999052,0.00001352484,0.000005242721,0.00002169689,0.00004044684,0.0000138363],"domain_scores_gemma":[0.9998949,0.00004344854,0.00002095334,0.000009718229,0.00002603219,0.000005003762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001204923,0.0001657039,0.0066932,0.0002321994,0.00003800001,0.0005193453,0.0002834348,0.7049736,0.2528493,0.002117574,0.0001911553,0.03181595],"study_design_scores_gemma":[0.000006707215,0.0002768912,0.008696266,0.00002178992,0.00001155974,0.0001635781,0.00006832569,0.9529136,0.03642197,0.0005744633,0.0008237028,0.00002118291],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.958718,0.001924312,0.0365826,0.00005877539,0.00002032527,0.0000426627,0.0001153276,0.00009732351,0.002440595],"genre_scores_gemma":[0.9954152,0.0006007255,0.002846567,0.000009907076,0.000003878409,0.00002211416,0.00004727957,0.000006232484,0.001047978],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003095845,"threshold_uncertainty_score":0.00615561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.011156347955163,"score_gpt":0.2224138267306165,"score_spread":0.2112574787754535,"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."}}