{"id":"W4255766567","doi":"10.1149/ma2010-01/9/617","title":"Investigation of Proton Transport in the Catalyst Layer of PEM Fuel Cells by Electrochemical Impedance Spectroscopy","year":2010,"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":"Automotive Fuel Cell Cooperation (Canada)","funders":"","keywords":"Dielectric spectroscopy; Proton exchange membrane fuel cell; Catalysis; Electrochemistry; Proton; Layer (electronics); Electrical impedance; Materials science; Proton transport; Fuel cells; Chemical engineering; Spectroscopy; Analytical Chemistry (journal); Chemistry; Electrode; Nanotechnology; Chromatography; Electrical engineering; Physical chemistry; Physics; Organic chemistry; Engineering; Nuclear physics","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":[0.0001761695,0.0001974473,0.0002374387,0.0002282765,0.0001920049,0.0004875898,0.0003465072,0.0007417632,0.001348556],"category_scores_gemma":[0.0004956755,0.0001590963,0.0001471931,0.0001835454,0.0002116532,0.0007315268,0.0001648237,0.0004399134,0.0002790563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001843077,"about_ca_system_score_gemma":0.00008547356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004802157,"about_ca_topic_score_gemma":0.0003133965,"domain_scores_codex":[0.999881,0.00001585291,0.000006260326,0.00002419513,0.00005670891,0.00001582335],"domain_scores_gemma":[0.9998678,0.00006846811,0.000011972,0.000009936512,0.00003381642,0.000008029869],"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":[0.000129325,0.00001829011,0.0003203043,0.00005078624,0.00001034285,0.00004446449,0.00002355684,0.0001603979,0.995958,0.0001327435,0.00006426297,0.003087625],"study_design_scores_gemma":[0.000009562153,0.0001113875,0.001502814,0.000004447883,0.00001071031,0.00009158379,0.00003597571,0.00425857,0.9929976,0.0001035117,0.0008693985,0.000004347981],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9825576,0.001781716,0.01332099,0.0002303128,0.00004981914,0.00002888014,0.0003924735,0.00008291459,0.001555381],"genre_scores_gemma":[0.9952456,0.0008351593,0.002357099,0.00003746888,0.00001321641,0.000011333,0.0002321858,0.00001211056,0.001255856],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001348556,"threshold_uncertainty_score":0.004511356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006231133204151531,"score_gpt":0.2020791427227066,"score_spread":0.1958480095185551,"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."}}