{"id":"W2065860862","doi":"10.1016/j.jpowsour.2008.04.060","title":"A numerical investigation of the effects of compression force on PEM fuel cell performance","year":2008,"lang":"en","type":"article","venue":"Journal of Power Sources","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":104,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Porosity; Materials science; Permeability (electromagnetism); Cathode; Proton exchange membrane fuel cell; Compression (physics); Mechanics; Computer simulation; Gaseous diffusion; Composite material; Homogeneous; Diffusion; Flow (mathematics); Uncompressed video; Electrode; Fuel cells; Membrane; Chemistry; Chemical engineering; Thermodynamics; Computer science; Engineering; Electrical engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008363497,0.00007552415,0.0001868695,0.00004897239,0.00003082473,0.000003921214,0.0001283195,0.00006218558,0.0000141926],"category_scores_gemma":[0.00001632435,0.00004302208,0.00008115728,0.00007863017,0.00005262642,0.00006227759,0.00001318181,0.0001481729,0.000002037144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001175732,"about_ca_system_score_gemma":0.00001222241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001577174,"about_ca_topic_score_gemma":2.574591e-8,"domain_scores_codex":[0.9993529,0.00003337371,0.0002948965,0.00003535005,0.0002057067,0.00007774326],"domain_scores_gemma":[0.9995196,0.00007117145,0.0002432755,0.0000847443,0.00004390201,0.00003734795],"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":[0.0001240017,0.00009616794,0.01174366,0.004915019,0.00008640898,0.00001454704,0.008686768,0.1896193,0.7822134,0.000005373698,0.002404387,0.00009096386],"study_design_scores_gemma":[0.0005864589,0.0004542747,0.02632353,0.0007313801,0.00002661723,0.0000415552,0.00004489044,0.002560074,0.9682701,0.00003892213,0.0008422461,0.00007999739],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952509,0.002106435,0.00002484528,0.00001652957,0.0007341349,0.00005136587,5.55393e-7,0.000007218164,0.001808022],"genre_scores_gemma":[0.9988694,0.0008758029,0.000107555,0.0000148759,0.00004626514,3.504959e-7,1.392022e-7,0.00001078394,0.00007478332],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1870593,"threshold_uncertainty_score":0.1754389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004268922254986463,"score_gpt":0.1640410544844269,"score_spread":0.1597721322294404,"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."}}