{"id":"W1973403039","doi":"10.1021/ie901509k","title":"Subpilot Demonstration of the Carbonation−Calcination Reaction (CCR) Process: High-Temperature CO<sub>2</sub> and Sulfur Capture from Coal-Fired Power Plants","year":2010,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Chemical Looping and Thermochemical Processes","field":"Engineering","cited_by":78,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ohio Coal Development Office; Graymont; Ohio State University","keywords":"Carbonation; Sorbent; Calcination; Calcium looping; Flue gas; Coal combustion products; Chemical engineering; Carbonatation; Waste management; Chemistry; Coal; Sulfur dioxide; Carbon capture and storage (timeline); Flue-gas desulfurization; Combustion; Environmental science; Mineralogy; Inorganic chemistry; Adsorption; Catalysis; Geology; Organic chemistry; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002172109,0.0002517661,0.0001815195,0.0001361074,0.0002084625,0.0003061088,0.0003731062,0.0004069527,0.002137477],"category_scores_gemma":[0.000248999,0.0001068356,0.0001780727,0.0001541536,0.000236035,0.000259289,0.0002390139,0.0005084276,0.0004343903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003127112,"about_ca_system_score_gemma":0.0003822435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003286053,"about_ca_topic_score_gemma":0.003096963,"domain_scores_codex":[0.999815,0.00001908213,0.000005876843,0.00003131599,0.00009239266,0.00003638276],"domain_scores_gemma":[0.9998339,0.00004532733,0.00002684577,0.00002064092,0.00003800841,0.00003525614],"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":[0.0003212406,0.0001796838,0.0006250134,0.00006393962,0.000005268519,0.0002081572,0.00006304867,0.0009452598,0.9910921,0.0003096127,0.0003831511,0.00580334],"study_design_scores_gemma":[0.00008466501,0.0006351611,0.002218342,0.000002343656,0.000005571055,0.0001522321,0.00001885268,0.005813405,0.9893664,0.00004156219,0.001653457,0.000008018134],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910138,0.00009349037,0.005326042,0.0001364112,0.00003108046,0.00004893439,0.0002352312,0.0004336085,0.002681363],"genre_scores_gemma":[0.9936808,0.00007189228,0.003653329,0.00002512107,0.000005530082,0.0000149193,0.0001407544,0.00002983476,0.002377742],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003286053,"threshold_uncertainty_score":0.00715059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01960448927342977,"score_gpt":0.2556539201050369,"score_spread":0.2360494308316071,"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."}}