{"id":"W4244171260","doi":"10.1149/ma2018-02/41/1358","title":"Microstructural Analysis of Electrode Performance in Fuel Cells at Varying Water Contents","year":2018,"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 Alberta","funders":"","keywords":"Proton exchange membrane fuel cell; Materials science; Water transport; Porosity; Diffusion; Porous medium; Gaseous diffusion; Electrochemistry; Liquid water; Nuclear engineering; Electrode; Chemical engineering; Water flow; Environmental science; Composite material; Fuel cells; Chemistry; Soil science; Thermodynamics","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":[0.0001517425,0.0001835853,0.0001474887,0.0005296978,0.0002558178,0.0003209279,0.0003550033,0.0003887592,0.0007170546],"category_scores_gemma":[0.0003453595,0.0001780595,0.0001578012,0.0003556978,0.000256895,0.0003905197,0.0001538043,0.0002943052,0.0001177593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000479493,"about_ca_system_score_gemma":0.0001525128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002397765,"about_ca_topic_score_gemma":0.003756122,"domain_scores_codex":[0.9998976,0.00000467677,0.000007000631,0.00002589047,0.00005193884,0.00001284046],"domain_scores_gemma":[0.9998052,0.00005306026,0.00004066142,0.00001797453,0.00007236815,0.00001088358],"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":[0.0001424034,0.00004212724,0.003818247,0.0001142282,0.00001433203,0.0001451123,0.00009606636,0.01322012,0.9737191,0.0002094272,0.0001383027,0.008340535],"study_design_scores_gemma":[0.000007000976,0.0002238366,0.05568519,0.00001200122,0.00002334716,0.0002131527,0.0001650137,0.08033919,0.8619768,0.0001892449,0.001139455,0.00002586095],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898886,0.0006549752,0.007289005,0.00004928385,0.000008077225,0.00002169624,0.0009110635,0.0002035717,0.0009737163],"genre_scores_gemma":[0.9962947,0.0002102049,0.002806812,0.00001221146,0.000002662756,0.00001717203,0.000321763,0.00002215245,0.0003123963],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002397765,"threshold_uncertainty_score":0.004767656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007631340668013727,"score_gpt":0.1971575229861721,"score_spread":0.1895261823181584,"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."}}