{"id":"W1985019799","doi":"10.1115/fuelcell2004-2444","title":"Numerical Analysis of Water Transport in PEM Fuel Cell Membranes Using a Phenomenological Model","year":2004,"lang":"en","type":"article","venue":"","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Mitacs; Ballard Power Systems","keywords":"Water transport; Proton exchange membrane fuel cell; Membrane; Diffusion; Nafion; Relative humidity; Materials science; Conductivity; Chemistry; Mechanics; Water flow; Thermodynamics; Environmental engineering; Environmental science; Electrochemistry; Physics; Electrode","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":[0.0004434019,0.0003885234,0.0005117789,0.0004282601,0.0006889593,0.0007848331,0.0007048972,0.001810551,0.001262505],"category_scores_gemma":[0.001771495,0.0003306284,0.000531318,0.0004504712,0.00115297,0.0007769568,0.0004800194,0.000539761,0.0001636643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001102333,"about_ca_system_score_gemma":0.0008374171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006310904,"about_ca_topic_score_gemma":0.002474851,"domain_scores_codex":[0.9998791,0.00003291231,0.000007862129,0.00001756107,0.00004050156,0.00002204179],"domain_scores_gemma":[0.9995022,0.0003146607,0.00005756047,0.00003300156,0.00007269182,0.00001989005],"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":[0.000022662,0.00001681825,0.000317252,0.00003300694,0.000004904734,0.00006977081,0.00002919109,0.9894811,0.004026416,0.004757294,0.00006591816,0.00117573],"study_design_scores_gemma":[0.000005477475,0.000009879701,0.00006656907,0.00000272219,0.000001334193,0.000008375738,0.000008427795,0.9987248,0.0005110328,0.0005232374,0.0001350819,0.000003168853],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6230622,0.001021961,0.3504948,0.001097614,0.0001236872,0.000169712,0.0003570151,0.0003401815,0.02333282],"genre_scores_gemma":[0.9589961,0.0004969944,0.03642232,0.00009089102,0.00002460628,0.0002004201,0.0001445674,0.00003813644,0.003586043],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006310904,"threshold_uncertainty_score":0.01254833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01540927112617572,"score_gpt":0.2040503562809561,"score_spread":0.1886410851547804,"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."}}