{"id":"W4406873357","doi":"10.1016/j.energy.2025.134683","title":"Comparison of various CO2 capture strategies for five optimized fuel-to-power systems based on solid oxide fuel cells: Technical, economic, and environmental analyses","year":2025,"lang":"en","type":"article","venue":"Energy","topic":"Advancements in Solid Oxide Fuel Cells","field":"Materials Science","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Solid oxide fuel cell; Fuel cells; Oxide; Process engineering; Waste management; Environmental science; Computer science; Chemical engineering; Materials science; Engineering; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001942392,0.0002695689,0.0006514763,0.0001556508,0.00008641183,0.0001040695,0.0003272848,0.0001380578,0.0001410421],"category_scores_gemma":[0.00002047955,0.0002499854,0.00008661785,0.00007017846,0.0001898574,0.0001285675,0.0001276127,0.00007655358,0.00001108586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002060492,"about_ca_system_score_gemma":0.0001122151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003006101,"about_ca_topic_score_gemma":0.00005247464,"domain_scores_codex":[0.9983094,0.00008861764,0.0005789928,0.0005262548,0.0001773553,0.0003193334],"domain_scores_gemma":[0.9987669,0.0003710368,0.0002760739,0.0004701269,0.00002263806,0.00009323414],"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":[0.0002129387,0.0001195895,0.00001246515,0.00007509928,0.00002352336,0.000001527596,0.00008948814,0.5949438,0.4009508,0.00156365,0.001999336,0.000007785456],"study_design_scores_gemma":[0.003175277,0.0008059022,0.00007546429,0.0002174842,0.0001986348,0.000002221018,0.006049459,0.1585359,0.8069763,0.001167632,0.0220354,0.0007603352],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4062891,0.004065864,0.5712038,0.0001415021,0.002382845,0.001592618,0.001264804,0.000215045,0.01284436],"genre_scores_gemma":[0.9816248,0.00005018874,0.01707482,0.0002319615,0.00002085501,0.0001417191,0.00004061393,0.00002528331,0.0007897106],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5753357,"threshold_uncertainty_score":0.9999952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01875369579171073,"score_gpt":0.3177648455272123,"score_spread":0.2990111497355016,"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."}}