{"id":"W2033511062","doi":"10.1016/j.ijthermalsci.2006.04.004","title":"Mathematical modeling of transport phenomena in porous SOFC anodes","year":2006,"lang":"en","type":"article","venue":"International Journal of Thermal Sciences","topic":"Advancements in Solid Oxide Fuel Cells","field":"Materials Science","cited_by":64,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Tech University; University of Waterloo","funders":"","keywords":"Overpotential; Materials science; Electrolyte; Anode; Porosity; Knudsen diffusion; Thermodynamics; Diffusion; Electrode; Electrochemistry; Mechanics; Layer (electronics); Chemical engineering; Composite material; Chemistry; Physical chemistry","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001119259,0.00008499414,0.0001930049,0.0001659956,0.00003071873,0.00003278458,0.0008720855,0.00002575753,0.0009729034],"category_scores_gemma":[0.00003937582,0.00006303914,0.00006240882,0.0001170831,0.0002435667,0.0005543772,0.00004288007,0.00007459058,0.00001821753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006656043,"about_ca_system_score_gemma":0.0000831691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006825451,"about_ca_topic_score_gemma":0.00001154561,"domain_scores_codex":[0.9980053,0.000035699,0.0007256044,0.0001221953,0.0009364365,0.0001747263],"domain_scores_gemma":[0.9992538,0.00007133047,0.000395927,0.00006268501,0.0001852812,0.00003097755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001191375,0.0002991268,0.004439053,0.00001267853,0.00001146026,0.00006100862,0.0003933354,0.6152208,0.3736804,0.004450909,0.000009395631,0.001302661],"study_design_scores_gemma":[0.00482971,0.00122511,0.01103424,0.001347648,0.0000797054,0.0006520755,0.002699233,0.1920954,0.5404174,0.2434892,0.00101052,0.001119795],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9779204,0.0001871769,0.007666835,0.0001477813,0.0003867978,0.00004312464,0.000006144031,0.000005149225,0.01363657],"genre_scores_gemma":[0.9862207,0.00001018696,0.01337685,0.00003235572,0.0002471977,9.139097e-7,3.805289e-7,0.000004947214,0.0001065297],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4231255,"threshold_uncertainty_score":0.9999403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02404224769923285,"score_gpt":0.2989719483765862,"score_spread":0.2749297006773533,"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."}}