{"id":"W1998020862","doi":"10.1115/fuelcell2012-91466","title":"Pore Network Modeling to Study the Effects of Common Assumptions in GDL Liquid Water Invasion Studies","year":2012,"lang":"en","type":"article","venue":"","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Inlet; Saturation (graph theory); Materials science; Electrolyte; Proton exchange membrane fuel cell; Percolation (cognitive psychology); Porosity; Percolation theory; Polymer; Fuel cells; Chemical engineering; Composite material; Conductivity; Chemistry; Engineering; Electrode; Mechanical engineering","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":[0.0005835799,0.000382454,0.0004685692,0.0003560148,0.000301104,0.0005654608,0.0008280752,0.0007317293,0.0008089311],"category_scores_gemma":[0.003228208,0.0002046838,0.0004185872,0.0004884995,0.0004691549,0.001080801,0.0004264924,0.0006778386,0.0001292944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006151388,"about_ca_system_score_gemma":0.0006848373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005750525,"about_ca_topic_score_gemma":0.003574282,"domain_scores_codex":[0.9997407,0.00005694546,0.00001562152,0.00005832302,0.00009306634,0.00003539015],"domain_scores_gemma":[0.9985213,0.0009821798,0.000172391,0.0001049562,0.0001862457,0.0000329077],"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":[0.00005680531,0.00005857307,0.001763824,0.0001219239,0.00001555765,0.0001436747,0.0001046615,0.9335224,0.04845122,0.01045872,0.0001262524,0.005176456],"study_design_scores_gemma":[0.000002179909,0.00001639434,0.0002329672,0.000002271171,0.000003492958,0.0000182497,0.00001166443,0.9892084,0.009538687,0.0006644103,0.0002971574,0.000004087297],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4021656,0.0003326545,0.5922412,0.0001839549,0.00003339556,0.0001337496,0.0007061684,0.0005021972,0.003701092],"genre_scores_gemma":[0.9465789,0.0002623945,0.05136962,0.00002278152,0.000005530211,0.0001405578,0.000357428,0.00007315877,0.001189585],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005750525,"threshold_uncertainty_score":0.01143414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02820359887201831,"score_gpt":0.2624336860536506,"score_spread":0.2342300871816323,"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."}}