{"id":"W4404552120","doi":"10.1016/j.ijggc.2024.104268","title":"Insights from FEED studies for retrofitting existing fossil power plants with carbon capture technology","year":2024,"lang":"en","type":"article","venue":"International journal of greenhouse gas control","topic":"Carbon Dioxide Capture Technologies","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Cochrane","funders":"Office of Fossil Energy and Carbon Management; National Energy Technology Laboratory; U.S. Department of Energy","keywords":"Retrofitting; Fossil fuel; Environmental science; Carbon fibers; Waste management; Carbon capture and storage (timeline); Engineering; Materials science; Climate change; Ecology; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002238707,0.0008633927,0.0005412978,0.002157134,0.001240062,0.003000511,0.000818208,0.00157985,0.007705463],"category_scores_gemma":[0.006129293,0.000268381,0.0007028885,0.001735062,0.0008570211,0.002321809,0.0005565915,0.001294088,0.0006558676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002709782,"about_ca_system_score_gemma":0.001751803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01621848,"about_ca_topic_score_gemma":0.02380943,"domain_scores_codex":[0.9991067,0.0002086089,0.00002997688,0.0000794264,0.000430671,0.000144522],"domain_scores_gemma":[0.9963464,0.00212273,0.0002124669,0.0001746059,0.001054912,0.00008878917],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.006124463,0.005753078,0.1407164,0.003413813,0.0009131169,0.004763178,0.003847209,0.08625652,0.1213019,0.1526488,0.0122303,0.4620313],"study_design_scores_gemma":[0.0004733645,0.00954402,0.1801551,0.002082082,0.001428212,0.001792345,0.02862653,0.1696255,0.3939856,0.0869623,0.1248702,0.0004546791],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9094797,0.002428611,0.01652867,0.001645063,0.0001023392,0.0002247744,0.001136819,0.00007149787,0.0683825],"genre_scores_gemma":[0.9859239,0.001676518,0.003848656,0.0001456506,0.00001468388,0.00004205745,0.0005784039,0.00003000695,0.007740194],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01621848,"threshold_uncertainty_score":0.03224814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01325413207186111,"score_gpt":0.250389113605727,"score_spread":0.2371349815338659,"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."}}