{"id":"W2752995488","doi":"10.1149/2.1201712jes","title":"In-Situ Modeling of Chemical Membrane Degradation and Mitigation in Ceria-Supported Fuel Cells","year":2017,"lang":"en","type":"article","venue":"Journal of The Electrochemical Society","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Ballard Power Systems","keywords":"Membrane; Degradation (telecommunications); Electrolyte; Cathode; Chemical engineering; Open-circuit voltage; Materials science; Ion; Electrode; Proton exchange membrane fuel cell; Voltage; Chemistry; Inorganic chemistry; Electrical engineering; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002310319,0.000454359,0.0004656008,0.0002151775,0.0002106411,0.000460339,0.0008170432,0.001100599,0.0009657292],"category_scores_gemma":[0.0003895604,0.0002493043,0.0005532519,0.0002163513,0.0003057666,0.0005297006,0.0002536451,0.0003989665,0.0002066216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007753881,"about_ca_system_score_gemma":0.000442636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00688637,"about_ca_topic_score_gemma":0.003444799,"domain_scores_codex":[0.9999192,0.00001285183,0.000004169441,0.00001796645,0.00002641438,0.00001932672],"domain_scores_gemma":[0.9998918,0.00004669325,0.00001723921,0.000009379465,0.00002908774,0.000005750012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006915687,0.00005629673,0.000909474,0.0001025122,0.00001692141,0.0001665596,0.00005284852,0.9213766,0.07284583,0.001677953,0.0001358217,0.002589994],"study_design_scores_gemma":[0.0000039525,0.00002241143,0.0001793637,0.000002458701,0.000003710428,0.00001190466,0.00001035622,0.9878455,0.01149383,0.000172935,0.0002504045,0.00000321878],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8190619,0.0009666653,0.1629411,0.0002982481,0.00008155713,0.0001267852,0.0008421481,0.0003034667,0.01537814],"genre_scores_gemma":[0.9896759,0.000400306,0.006103266,0.00002924762,0.000007821975,0.00009088342,0.0001553746,0.00002632272,0.003510941],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00688637,"threshold_uncertainty_score":0.01369256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006615682426837044,"score_gpt":0.2053253594996716,"score_spread":0.1987096770728345,"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."}}