{"id":"W2520892298","doi":"10.1149/ma2016-02/23/1720","title":"(Invited) Electrochemical Impedance Spectroscopy for Polymer Electrolyte Membrane Fuel Cells: Understanding the Relationship Between Liquid Water and Performance","year":2016,"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 Toronto","funders":"","keywords":"Proton exchange membrane fuel cell; Dielectric spectroscopy; Electrolyte; Water transport; Materials science; Fuel cells; Mass transport; Hydrogen fuel; Liquid water; Chemical engineering; Inefficiency; Polymer; Process engineering; Electrochemistry; Environmental science; Chemistry; Biochemical engineering; Engineering; Composite material; Environmental engineering; Electrode; Water flow","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":[0.0008261305,0.001256078,0.0007456548,0.0008101066,0.0007328598,0.001929621,0.00118696,0.003200593,0.01411771],"category_scores_gemma":[0.001062557,0.0004540916,0.0006858802,0.0007149364,0.0007097655,0.002352539,0.0005999634,0.002979971,0.01021842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008328747,"about_ca_system_score_gemma":0.0004693043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008397123,"about_ca_topic_score_gemma":0.001725637,"domain_scores_codex":[0.9994441,0.00005500882,0.00002383492,0.0001195428,0.0002942943,0.00006328012],"domain_scores_gemma":[0.9995148,0.00009803907,0.00002315668,0.00001299211,0.0002907881,0.00006036499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000682043,0.0002107592,0.0005454653,0.002475962,0.00008491956,0.0006574499,0.0003661739,0.001630808,0.168239,0.008952389,0.5664486,0.2497065],"study_design_scores_gemma":[0.00004672663,0.0003254179,0.001239082,0.0001595664,0.00007796381,0.0007287024,0.0002696281,0.003630533,0.09512167,0.004241571,0.8940677,0.00009139256],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.03169031,0.3936553,0.08652724,0.1135291,0.251247,0.0005725113,0.001651545,0.001982135,0.1191448],"genre_scores_gemma":[0.1158149,0.2236278,0.02648329,0.01896987,0.078412,0.0003464063,0.001435599,0.0007361903,0.5341739],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01411771,"threshold_uncertainty_score":0.04722846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0200149571854463,"score_gpt":0.2212379833414958,"score_spread":0.2012230261560495,"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."}}