{"id":"W2803537584","doi":"10.1149/ma2018-01/27/1590","title":"Water Balance in Polymer Electrolyte Fuel Cells with Ultra-Low Pt Loading: From Modeling to Design","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":"Simon Fraser University","funders":"","keywords":"Electrolyte; Context (archaeology); Platinum; Materials science; Proton exchange membrane fuel cell; Diffusion; Catalysis; Chemical engineering; Fabrication; Polymer; Electrode; Fuel cells; Composite material; Chemistry; Engineering; Thermodynamics; Physics","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":[0.0003113312,0.000511319,0.0008090502,0.0003511781,0.0002721538,0.00109471,0.0009944054,0.001316432,0.0007579778],"category_scores_gemma":[0.0007207831,0.0004127226,0.0005617518,0.0003855379,0.0006278806,0.001429611,0.0004568841,0.0005951727,0.0002392832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007479773,"about_ca_system_score_gemma":0.0007726218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004948324,"about_ca_topic_score_gemma":0.002721797,"domain_scores_codex":[0.9999093,0.00002559866,0.000004577313,0.00001787001,0.00002651854,0.00001627458],"domain_scores_gemma":[0.9998741,0.00007598766,0.000017291,0.000008224389,0.00001824368,0.000006133685],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004025917,0.00005008921,0.0006944883,0.0001652087,0.00001688686,0.0001235696,0.00006111652,0.9735928,0.009106352,0.009472838,0.0002346487,0.006441649],"study_design_scores_gemma":[0.000006497776,0.00001765598,0.0001431316,0.000008822399,0.000006114484,0.00001099797,0.00001229609,0.9943942,0.001358281,0.003473375,0.0005618388,0.00000685036],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5503725,0.008340633,0.4098919,0.002212657,0.0001142862,0.0002044193,0.0007301179,0.0005440496,0.02758944],"genre_scores_gemma":[0.9731871,0.005142356,0.01604277,0.0001091333,0.00004799126,0.0002623551,0.0001599976,0.00009714751,0.004951162],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004948324,"threshold_uncertainty_score":0.009839058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008813058449916322,"score_gpt":0.1892341520217886,"score_spread":0.1804210935718723,"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."}}