{"id":"W2016742995","doi":"10.1016/j.ijthermalsci.2006.01.005","title":"A numerical study of channel-to-channel flow cross-over through the gas diffusion layer in a PEM-fuel-cell flow system using a serpentine channel with a trapezoidal cross-sectional shape","year":2006,"lang":"en","type":"article","venue":"International Journal of Thermal Sciences","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":78,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Pressure drop; Mechanics; Flow (mathematics); Materials science; Dimensionless quantity; Two-phase flow; Compressibility; Volumetric flow rate; Stratified flow; Thermodynamics; Physics; Turbulence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006717659,0.0002119112,0.0003016467,0.0002212348,0.0001365918,0.0002847404,0.0006827218,0.00008224695,0.0001002915],"category_scores_gemma":[0.00001190504,0.0001255555,0.0001177229,0.000379064,0.0001366955,0.0004657542,0.00008418386,0.0002292525,0.000004624563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001351214,"about_ca_system_score_gemma":0.00005628075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006088652,"about_ca_topic_score_gemma":0.00004187744,"domain_scores_codex":[0.9975705,0.00007272162,0.0007543743,0.0002212756,0.001085521,0.0002956256],"domain_scores_gemma":[0.999205,0.0000706074,0.0003090621,0.00009047148,0.0002653695,0.00005951147],"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":[0.0003493727,0.0003481196,0.006760701,0.00006836119,0.00007165479,0.0000789566,0.00157048,0.9800197,0.01070015,0.000005666907,0.000009566732,0.00001721537],"study_design_scores_gemma":[0.002490299,0.0005270067,0.04994039,0.0002636109,0.00002376199,0.0003547832,0.0006698973,0.9428517,0.002505506,0.0001036715,0.00003992852,0.0002294606],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956577,0.0003825077,0.0008359177,0.00006118334,0.001861549,0.000239936,0.00001922627,0.00002138445,0.000920588],"genre_scores_gemma":[0.9990102,0.00001958664,0.0003351936,0.00002521403,0.0005502098,0.000007624275,0.000001329415,0.00002153469,0.00002911459],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04317969,"threshold_uncertainty_score":0.5120006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01970899128155055,"score_gpt":0.2735497054220909,"score_spread":0.2538407141405403,"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."}}