{"id":"W2084327338","doi":"10.1016/j.jpowsour.2012.07.084","title":"Numerical investigation of water dynamics in a novel proton exchange membrane fuel cell flow channel","year":2012,"lang":"en","type":"article","venue":"Journal of Power Sources","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":68,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Proton exchange membrane fuel cell; Pressure drop; Capillary action; Electrode; Drop (telecommunication); Water transport; Chemistry; Flow (mathematics); Membrane; Capillary pressure; Water flow; Open-channel flow; Materials science; Mechanics; Environmental engineering; Composite material; Porosity; Environmental science; Porous medium; Electrical engineering; Engineering","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":[0.0002235532,0.0003414957,0.0006480786,0.0005441015,0.001105712,0.001270047,0.0009832305,0.002397553,0.00401152],"category_scores_gemma":[0.001125573,0.0003724713,0.0004124877,0.0005226012,0.001563926,0.0009567172,0.0006872172,0.0007481,0.0001808294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001158198,"about_ca_system_score_gemma":0.001257644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0160089,"about_ca_topic_score_gemma":0.006234842,"domain_scores_codex":[0.9999007,0.00001685552,0.000004149459,0.00002427104,0.0000198254,0.00003423059],"domain_scores_gemma":[0.9994954,0.0002496224,0.00006296155,0.00002782266,0.00006781445,0.00009649267],"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":[0.0002319613,0.0002189415,0.002610259,0.00005488659,0.00002335752,0.0004134216,0.00007337952,0.9835489,0.005790768,0.004292215,0.0004483994,0.002293587],"study_design_scores_gemma":[0.00002698638,0.0000309955,0.000392129,0.000003357172,0.000003923413,0.00001232882,0.00003193317,0.9987197,0.0004705554,0.0001962519,0.0001045003,0.000007413403],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9695683,0.0002202029,0.01157152,0.0006213482,0.0001001852,0.00006256803,0.0003192258,0.0001552429,0.01738137],"genre_scores_gemma":[0.9949374,0.00006735119,0.002479705,0.00005383442,0.00001397889,0.00002384995,0.00007084166,0.0000159276,0.002337092],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0160089,"threshold_uncertainty_score":0.03183144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008367714404265826,"score_gpt":0.1871862719525947,"score_spread":0.1788185575483289,"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."}}