{"id":"W2801604307","doi":"10.1149/ma2018-01/30/1817","title":"Full Characterization of an Operating Fuel Cell Using High Energy X-Rays","year":2018,"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 British Columbia","funders":"","keywords":"Proton exchange membrane fuel cell; Durability; Materials science; Dissolution; Characterization (materials science); Process engineering; Automotive industry; Degradation (telecommunications); Diffraction; Nuclear engineering; Chemical engineering; Fuel cells; Nanotechnology; Electrical engineering; Composite material; Optics; Physics; Engineering; Thermodynamics","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":[0.0002169183,0.0004509047,0.0004089175,0.0003674391,0.0003269026,0.000547281,0.0005625302,0.0007125455,0.001991849],"category_scores_gemma":[0.0003799266,0.0001673397,0.0001872992,0.0003012811,0.0004387379,0.0006322833,0.0002370908,0.0004355527,0.0007193136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002030613,"about_ca_system_score_gemma":0.0001564901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005551928,"about_ca_topic_score_gemma":0.0005803054,"domain_scores_codex":[0.9998345,0.000009950368,0.00001199487,0.00003973988,0.0000880064,0.00001570642],"domain_scores_gemma":[0.9997181,0.00008616628,0.00004124073,0.00005532261,0.00008060939,0.00001854437],"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":[0.00002241402,0.00001346259,0.001036037,0.00005064062,0.000003354313,0.00009544224,0.00003546443,0.000257595,0.9961766,0.00006069455,0.00002639743,0.002221861],"study_design_scores_gemma":[0.000002548164,0.0001253034,0.0111039,0.000009507396,0.000008690116,0.0003160444,0.00006360994,0.00201454,0.9845696,0.00007580923,0.001701796,0.000008635187],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9510016,0.002080342,0.04301728,0.00007647146,0.00003008936,0.00006412235,0.001596609,0.0003977863,0.001735819],"genre_scores_gemma":[0.9622313,0.001639173,0.03213374,0.00005802307,0.00002037196,0.0001007893,0.001373675,0.0001489314,0.002293972],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001991849,"threshold_uncertainty_score":0.006663382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00881043042967071,"score_gpt":0.1978616988383705,"score_spread":0.1890512684086998,"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."}}