{"id":"W4411648663","doi":"10.1016/j.apenergy.2025.126321","title":"Performance assessment and fast diagnosis of a <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" altimg=\"si17.svg\"> <mml:mi>μ</mml:mi> </mml:math> -CHP solid oxide fuel cell system","year":2025,"lang":"en","type":"article","venue":"Applied Energy","topic":"Advancements in Solid Oxide Fuel Cells","field":"Materials Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro-Québec","funders":"Horizon 2020 Framework Programme; National Key Research and Development Program of China; China Scholarship Council; Hydro-Québec; Fuel Cells and Hydrogen Joint Undertaking; National Natural Science Foundation of China; École Polytechnique Fédérale de Lausanne","keywords":"Oxide; Applied mathematics; Computer science; Mathematics; Algorithm; Materials science; Metallurgy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002838181,0.000327387,0.0002842151,0.0004439764,0.0002323375,0.0003612037,0.0003796554,0.0004170696,0.0006434617],"category_scores_gemma":[0.0004584206,0.0001605207,0.000148006,0.0002719456,0.0002295059,0.0005453231,0.0003162849,0.0002475629,0.0001975068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002971157,"about_ca_system_score_gemma":0.000187077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006810088,"about_ca_topic_score_gemma":0.001331664,"domain_scores_codex":[0.9997517,0.0000172995,0.00001685868,0.00005770611,0.000134607,0.00002190252],"domain_scores_gemma":[0.9997763,0.00006271936,0.00003439636,0.0000317942,0.00008340825,0.00001128248],"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":[0.0001184594,0.0000236713,0.002675009,0.00005061555,0.000006152075,0.00008897151,0.0000619742,0.0009678036,0.9765183,0.00006312095,0.00007676988,0.01934903],"study_design_scores_gemma":[0.000003579455,0.0002168678,0.006688184,0.000004410992,0.000009639538,0.0001373973,0.00006410845,0.01804034,0.974317,0.00006077937,0.0004484576,0.00000917745],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9782624,0.000365457,0.02014255,0.0000615577,0.0000181181,0.00002465651,0.0001794019,0.0001971805,0.0007486672],"genre_scores_gemma":[0.9938385,0.0001608734,0.005525867,0.00001059799,0.000003210692,0.000009074333,0.00006972788,0.000009766491,0.0003724941],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006810088,"threshold_uncertainty_score":0.002155721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01068018821337591,"score_gpt":0.2419422551027287,"score_spread":0.2312620668893528,"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."}}