{"id":"W2963201240","doi":"10.1115/icnmm2008-62349","title":"A Microfluidic Pore Network Approach to Investigate Water Transport in Fuel Cell Porous Transport Layers","year":2008,"lang":"en","type":"article","venue":"ASME 2008 6th International Conference on Nanochannels, Microchannels, and Minichannels","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Porous medium; Microfluidics; Materials science; Capillary action; Network model; Multiphase flow; Porosity; Percolation theory; Capillary pressure; Wetting; Percolation (cognitive psychology); Nanotechnology; Mechanics; Computer science; Engineering; Composite material; Topology (electrical circuits)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004363217,0.0009052742,0.0009338012,0.000628667,0.0001977358,0.00006000243,0.0007382195,0.000588464,0.0002806623],"category_scores_gemma":[0.000009179541,0.0008040376,0.0002042435,0.0003813994,0.0002174479,0.0003346473,0.00008307718,0.0005963079,0.0001798987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001286263,"about_ca_system_score_gemma":0.0001135599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001916493,"about_ca_topic_score_gemma":0.00003542648,"domain_scores_codex":[0.9958307,0.00006960388,0.001162444,0.001088789,0.0005106181,0.001337833],"domain_scores_gemma":[0.9986775,0.00003801929,0.0001231472,0.0003954358,0.0002141144,0.0005517867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002601735,0.002541567,0.001038368,0.005509591,0.001510142,0.003786986,0.090716,0.3343032,0.4748278,0.001689151,0.08064491,0.0008305943],"study_design_scores_gemma":[0.02092642,0.002772942,0.001665828,0.003568131,0.0004328933,0.003574632,0.006554347,0.03466392,0.712591,0.01109174,0.1899653,0.01219285],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9033296,0.01388158,0.002007997,0.001021374,0.006277733,0.001972549,0.0006393752,0.0006493528,0.07022044],"genre_scores_gemma":[0.9595978,0.03327331,0.0005879237,0.0007504579,0.0005724842,0.0001826595,0.0005929523,0.0001650474,0.004277315],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2996393,"threshold_uncertainty_score":0.999441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02448402248628757,"score_gpt":0.2066195542875291,"score_spread":0.1821355318012415,"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."}}