{"id":"W2083789418","doi":"10.1177/2041296710394266","title":"Effective transport properties of the porous electrodes in solid oxide fuel cells","year":2011,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part A Journal of Power and Energy","topic":"Advancements in Solid Oxide Fuel Cells","field":"Materials Science","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Queen's University","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Porosity; Finite volume method; Microstructure; Electrode; Solid oxide fuel cell; Particle (ecology); Octree; Computation; Porous medium; Lattice Boltzmann methods; Mechanics; Particle size; Composite material; Chemical engineering; Anode; Physics; Computer science","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":[0.0004764489,0.0003754966,0.0004676549,0.0004912679,0.0004581465,0.0008400641,0.0009335526,0.0008065719,0.0004874012],"category_scores_gemma":[0.001907233,0.000271702,0.0004278019,0.0004127149,0.0008010013,0.00092313,0.0004072589,0.000361334,0.0001314909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008940554,"about_ca_system_score_gemma":0.0009917406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004073216,"about_ca_topic_score_gemma":0.002393827,"domain_scores_codex":[0.9998042,0.00003953957,0.000009339639,0.00001700812,0.000108291,0.00002165802],"domain_scores_gemma":[0.9995704,0.0002517702,0.00003435531,0.00002866842,0.00009147815,0.00002330052],"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":[0.00002343769,0.00002147954,0.0003029321,0.0000511492,0.000009543184,0.00009100149,0.00003452815,0.9572212,0.01164989,0.02433168,0.0001001736,0.006163085],"study_design_scores_gemma":[0.000004971065,0.000006876208,0.00006107792,0.000002843489,0.000001990098,0.0000124877,0.000003544575,0.9943289,0.002272425,0.0030661,0.0002349605,0.00000388697],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1916532,0.0008621891,0.8013505,0.0001281352,0.0000420549,0.000056861,0.0001343772,0.0002879985,0.005484595],"genre_scores_gemma":[0.8853548,0.0007050881,0.1116565,0.0000306885,0.00001910892,0.0001110043,0.0001558514,0.00009464704,0.001872406],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004073216,"threshold_uncertainty_score":0.00809896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009903790060841177,"score_gpt":0.1992767869427227,"score_spread":0.1893729968818815,"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."}}