{"id":"W2901155391","doi":"10.1002/ghg.1825","title":"CO<sub>2</sub> capture and attrition performance of competitive eco‐friendly calcium‐based pellets in fluidized bed","year":2018,"lang":"en","type":"article","venue":"Greenhouse Gases Science and Technology","topic":"Chemical Looping and Thermochemical Processes","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Southeast University; Cranfield University; National Key Research and Development Program of China; Natural Resources Canada; U.S. Department of Energy","keywords":"Pellets; Elutriation; Cement; Calcium looping; Breakage; Materials science; Abrasion (mechanical); Lime; Thermogravimetric analysis; Fluidized bed; Scanning electron microscope; Sintering; Composite material; Pyrolysis; Calcium oxide; Pelletizing; Mineralogy; Chemical engineering; Metallurgy; Waste management; Sorbent; Adsorption; Chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001335697,0.0001249513,0.0002032222,0.0003011985,0.00008400436,0.00001268272,0.0001641634,0.0001378444,0.000005110011],"category_scores_gemma":[0.0001349534,0.0001180289,0.00001176911,0.0008491817,0.001936743,0.0001169095,0.0000422748,0.0001608468,0.000003670689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000359804,"about_ca_system_score_gemma":0.00004424691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000151,"about_ca_topic_score_gemma":0.00003381354,"domain_scores_codex":[0.9991336,0.000005329269,0.0001713425,0.0002595354,0.0001518702,0.0002782605],"domain_scores_gemma":[0.9995621,0.00005069883,0.00003293187,0.0001483842,0.0001465325,0.00005928969],"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":[0.0000197367,0.00002235171,0.001844008,0.00009919141,0.000002611598,0.000003590186,0.0000460737,0.000002586171,0.9949799,0.0001773316,0.00003183709,0.002770742],"study_design_scores_gemma":[0.0005054658,0.0001431718,0.0002642186,0.0001220178,0.000005606561,0.00002267381,0.00007194238,0.00351362,0.9949541,0.0002095016,0.0000554471,0.0001322297],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988169,0.0004064969,0.00007302897,0.0001430498,0.00002963619,0.00009623574,0.00001208724,0.0001963222,0.000226253],"genre_scores_gemma":[0.9995359,0.0001542491,0.0002333824,0.00003584485,0.0000161649,0.00001014221,0.000003047009,0.00001069906,5.488038e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003511034,"threshold_uncertainty_score":0.7136012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00909376149950542,"score_gpt":0.2193083455299761,"score_spread":0.2102145840304707,"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."}}