{"id":"W4240728979","doi":"10.1149/ma2010-02/10/666","title":"The Effect of MPL Permeability on Water Fluxes in PEM Fuel Cells: A Lumped Approach","year":2010,"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":"Automotive Fuel Cell Cooperation (Canada); Simon Fraser University","funders":"","keywords":"Proton exchange membrane fuel cell; Permeability (electromagnetism); Fuel cells; Nuclear engineering; Environmental science; Materials science; Chemistry; Petroleum engineering; Mechanics; Chemical engineering; Geology; Engineering; Membrane; 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":[0.0004878708,0.0005590455,0.0007994461,0.00046651,0.0003835816,0.0007882426,0.0007013282,0.0009367026,0.001390441],"category_scores_gemma":[0.002563247,0.0005936066,0.0005828422,0.0003376121,0.0006755978,0.001767118,0.0005507095,0.0005481372,0.0002295124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006326926,"about_ca_system_score_gemma":0.0003031913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00278933,"about_ca_topic_score_gemma":0.001975634,"domain_scores_codex":[0.9998049,0.00006699913,0.000009333822,0.00003891059,0.00005960976,0.00002029809],"domain_scores_gemma":[0.9994465,0.0004146957,0.00003530862,0.00004172984,0.00004817517,0.00001374457],"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":[0.0004794753,0.0001184454,0.0007591667,0.0005065983,0.00008054062,0.0001560108,0.00007580948,0.8851886,0.08903569,0.003594968,0.0003369543,0.01966767],"study_design_scores_gemma":[0.00002427335,0.0001003994,0.0006459469,0.00001555511,0.00004920797,0.0000216711,0.00001747169,0.9633225,0.03427829,0.001135339,0.0003704672,0.00001886695],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7537547,0.003522036,0.2157328,0.001160315,0.0001955549,0.0002090333,0.000857653,0.0009775528,0.02359038],"genre_scores_gemma":[0.9958988,0.0004915434,0.002103497,0.00002659799,0.00001221525,0.00003644032,0.00003604361,0.00003857067,0.001356218],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00278933,"threshold_uncertainty_score":0.005546153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004686924588659772,"score_gpt":0.1933670685996739,"score_spread":0.1886801440110142,"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."}}