{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001209765,0.0001739452,0.0003211806,0.0000554893,0.00002791217,0.00001211149,0.0001250808,0.0003964002,0.00138168],"category_scores_gemma":[0.000007095512,0.0002107959,0.0000415624,0.00004145955,0.00002364191,0.0002272855,0.00002695216,0.0001580285,0.00001129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002351709,"about_ca_system_score_gemma":0.00004217225,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0129597,"about_ca_topic_score_gemma":0.03532983,"domain_scores_codex":[0.9993752,0.00003588687,0.0001055532,0.0001869024,0.0001489539,0.0001474608],"domain_scores_gemma":[0.999603,0.00001466806,0.00008881003,0.0001295528,0.00008799169,0.00007595184],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"qualitative","study_design_scores_codex":[0.001812994,0.0006918602,0.00007714654,0.04072388,0.001386414,0.000686071,0.3845251,0.02636991,0.4845157,0.001649586,0.01532388,0.04223745],"study_design_scores_gemma":[0.01915932,0.002318079,0.1701289,0.007055428,0.002268083,0.00002153051,0.4478519,0.2414795,0.08934107,0.002761531,0.009672543,0.007942023],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7747176,0.003774852,0.00006176472,0.00004099842,0.001122812,0.000529853,0.00004416825,0.0001774226,0.2195306],"genre_scores_gemma":[0.9909436,0.003463668,0.0007203701,0.000001390868,0.00002458223,4.303304e-7,0.0001989157,0.00003055578,0.004616509],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3951747,"threshold_uncertainty_score":0.9995312,"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."}}