{"id":"W2129512768","doi":"10.1149/06403.0547ecst","title":"Polymer Electrolyte Membrane Fuel Cells: Characterization and Diagnostics","year":2014,"lang":"en","type":"article","venue":"ECS Transactions","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Proton exchange membrane fuel cell; Electrolyte; Characterization (materials science); Materials science; Membrane; Polymer; Degradation (telecommunications); Electrode; In situ; Fuel cells; Chemical engineering; Composite material; Nanotechnology; Chemistry; Electronic engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004343788,0.0001031728,0.0001093316,0.00005018586,0.00006246036,0.00003672747,0.00003523559,0.00009510401,0.0002241748],"category_scores_gemma":[0.000001899547,0.0001004729,0.00002603878,0.0000763444,0.00001878113,0.00008869987,0.000001139268,0.0001013328,0.00004958685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009170516,"about_ca_system_score_gemma":0.000003688984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005040861,"about_ca_topic_score_gemma":0.000003483737,"domain_scores_codex":[0.9995528,0.00001450132,0.0001280872,0.00009693753,0.00005406984,0.0001535738],"domain_scores_gemma":[0.9997835,0.00003967754,0.00001340421,0.00009269996,0.00001065731,0.00006004484],"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":[0.000003731792,0.00001813817,0.000002534644,0.0002084715,0.0000320921,8.493323e-7,0.0001355765,0.003925206,0.9939731,0.00004099076,0.00003808826,0.001621263],"study_design_scores_gemma":[0.0003566953,0.00003850689,0.0002067389,0.00002273898,0.00008190975,0.00001062299,0.00000756939,0.02708311,0.9123207,0.00004043735,0.05960515,0.0002258436],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5619606,0.006500704,0.4025493,0.0006559432,0.005344078,0.0005397316,0.0001727257,0.001574511,0.0207023],"genre_scores_gemma":[0.9863678,0.01265881,0.0001450975,0.0000375545,0.00009935893,0.00001272148,0.00002166099,0.00003357394,0.0006233862],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4244072,"threshold_uncertainty_score":0.4097165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002942355812793367,"score_gpt":0.1580304380307861,"score_spread":0.1550880822179927,"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."}}