{"id":"W1987874557","doi":"10.1002/er.1717","title":"Numerical simulation of laminar flow development with heat and mass transfer in PEM fuel cell flow channels having oxygen and hydrogen suction at one channel wall","year":2010,"lang":"en","type":"article","venue":"International Journal of Energy Research","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Nusselt number; Laminar flow; Proton exchange membrane fuel cell; Mass transfer; Mechanics; Heat transfer; Sherwood number; Materials science; Thermodynamics; Chemistry; Turbulence; Reynolds number; Membrane; 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":[0.0004909327,0.00009590925,0.000171514,0.0003275121,0.00003344696,0.0000372436,0.0001207547,0.0001051865,0.00004710464],"category_scores_gemma":[0.00001332504,0.00007994346,0.00002190798,0.00009435901,0.00004547905,0.0001532783,0.0000288682,0.0002611944,9.671072e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008981824,"about_ca_system_score_gemma":0.00003385395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004181853,"about_ca_topic_score_gemma":0.00004304449,"domain_scores_codex":[0.9988363,0.00004494125,0.0003259905,0.0001105477,0.0005106842,0.0001715487],"domain_scores_gemma":[0.9994627,0.00008518152,0.00002744157,0.00004986565,0.000289916,0.00008485076],"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":[0.0002417568,0.00005558422,0.0002551152,0.0001264858,0.00007888941,0.00004649142,0.0007619369,0.8562033,0.1416562,0.000006478876,0.000005052803,0.0005626363],"study_design_scores_gemma":[0.001211643,0.0001558659,0.0008833418,0.0001826675,0.000008243393,0.0001006595,0.0000391484,0.8155817,0.1801498,0.0001659031,0.001388793,0.0001321653],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963037,0.0008566708,0.002035665,0.000133327,0.0002575167,0.00005251732,0.000002898742,0.000006643937,0.0003510221],"genre_scores_gemma":[0.9973676,0.001168501,0.001175666,0.000004659076,0.0001412459,0.000003815225,0.00000728857,0.00002055947,0.0001106239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04062159,"threshold_uncertainty_score":0.326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01867408167555845,"score_gpt":0.2522318216200281,"score_spread":0.2335577399444696,"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."}}