{"id":"W2015027782","doi":"10.1016/s1750-5836(07)00042-4","title":"Environmental impacts of absorption-based CO2 capture unit for post-combustion treatment of flue gas from coal-fired power plant","year":2007,"lang":"en","type":"article","venue":"International journal of greenhouse gas control","topic":"Carbon Dioxide Capture Technologies","field":"Engineering","cited_by":230,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada; U.S. Environmental Protection Agency","keywords":"Flue gas; Greenhouse gas; Waste management; Power station; Environmental science; Pollutant; Combustion; Flue-gas emissions from fossil-fuel combustion; Human health; Coal combustion products; Environmental engineering; Coal; Carbon dioxide; Environmental impact assessment; Engineering; Chemistry","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":[0.0002165837,0.0003054328,0.0003707301,0.0003425504,0.001096797,0.0004133931,0.0005537149,0.0007963516,0.002092925],"category_scores_gemma":[0.0002109553,0.0001644771,0.0004463532,0.0002200306,0.0002905634,0.0003613647,0.0003366654,0.0004319606,0.0002574309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008830459,"about_ca_system_score_gemma":0.0005153067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007592352,"about_ca_topic_score_gemma":0.01356762,"domain_scores_codex":[0.9997943,0.0000288244,0.00000798898,0.00003266591,0.00007055203,0.00006564274],"domain_scores_gemma":[0.9998276,0.00005086981,0.00001708091,0.000008590146,0.00006955175,0.00002619243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00716375,0.000918228,0.01476607,0.0003329527,0.00006235328,0.0006600028,0.0001777488,0.00828882,0.9496785,0.0001767983,0.0006667032,0.01710806],"study_design_scores_gemma":[0.00006884334,0.0020213,0.02052493,0.000006021112,0.00005533354,0.0001000438,0.0001671663,0.009763007,0.9668038,0.00003379534,0.0004362237,0.00001952907],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991496,0.00005118508,0.0003204182,0.00002055306,0.000008134884,0.00001276535,0.00004623349,0.00002615181,0.000365053],"genre_scores_gemma":[0.9991344,0.00003475492,0.0001685572,0.00001168868,0.000002231342,0.000006746976,0.00004271791,0.000003573518,0.0005953436],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007592352,"threshold_uncertainty_score":0.01509631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00690925929502817,"score_gpt":0.2134331606731327,"score_spread":0.2065239013781045,"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."}}