{"id":"W4309813954","doi":"10.1149/ma2022-02502436mtgabs","title":"Advanced Electrochemical Impedance Analysis Using Distribution of Relaxation Times for in Operando Mechanistic Insights of Fuel Cell and Water Electrolyzer Designs","year":2022,"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":"Dalhousie University","funders":"","keywords":"Anode; Dielectric spectroscopy; Electrolysis; Materials science; Cathode; Renewable energy; Solid oxide fuel cell; Process engineering; Hydrogen production; Polymer electrolyte membrane electrolysis; Electrode; Hydrogen; Electrochemistry; Chemistry; Electrical engineering; Electrolyte; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000452148,0.0005623734,0.0003419031,0.0007909932,0.0001898292,0.0006881436,0.0005498477,0.0005845446,0.001697104],"category_scores_gemma":[0.001065014,0.0002166688,0.0002089825,0.0007531935,0.0002874832,0.001579927,0.0003101146,0.0006494423,0.00041094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003844535,"about_ca_system_score_gemma":0.0001913848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003651588,"about_ca_topic_score_gemma":0.000448558,"domain_scores_codex":[0.9997165,0.00002832583,0.00001515239,0.00008172552,0.0001374312,0.00002097104],"domain_scores_gemma":[0.9996661,0.0001092266,0.00006577737,0.00004761593,0.00009671009,0.00001457387],"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":[0.0001352882,0.00008012793,0.001550456,0.0001527425,0.00001827661,0.00009789685,0.00009494543,0.008846609,0.9406796,0.002832789,0.0003958607,0.04511551],"study_design_scores_gemma":[0.00001975653,0.0002053484,0.005322171,0.00002190358,0.00003000521,0.0002977044,0.0001205481,0.2160809,0.765939,0.004417226,0.00750081,0.00004465054],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3890027,0.002387981,0.5978582,0.0004074552,0.0001100788,0.0001087316,0.001699412,0.001203014,0.007222496],"genre_scores_gemma":[0.9061066,0.001509841,0.08836659,0.0001050661,0.00006029595,0.00007111493,0.0006527361,0.0001025418,0.003025371],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001697104,"threshold_uncertainty_score":0.005677342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006969955900529152,"score_gpt":0.2072727329999501,"score_spread":0.200302777099421,"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."}}