{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002136974,0.0004142936,0.0003919807,0.0002786198,0.0001706035,0.00034168,0.0004064644,0.0003266491,0.0005239587],"category_scores_gemma":[0.0002360721,0.0002009748,0.0002692411,0.0001726871,0.0002010032,0.0003332432,0.0002014318,0.0002836913,0.0002883826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003140623,"about_ca_system_score_gemma":0.0002044463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001862299,"about_ca_topic_score_gemma":0.003549602,"domain_scores_codex":[0.9998683,0.00001812136,0.00000830117,0.00002642906,0.00005339764,0.00002542974],"domain_scores_gemma":[0.9998975,0.00002122223,0.00002561364,0.000006539123,0.00002882506,0.00002022773],"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":[0.0001753108,0.00003456268,0.0003432588,0.00005794402,0.000008426155,0.00004444354,0.0000138321,0.0002710373,0.9970269,0.00003412655,0.00002931233,0.001960877],"study_design_scores_gemma":[0.00001388446,0.0002777175,0.002165689,0.000002670816,0.00001609222,0.00004705665,0.00001775919,0.003102037,0.9938523,0.000004933835,0.000491047,0.000008919658],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977993,0.0002261657,0.001591088,0.00001689819,0.000009103464,0.00001131305,0.00003969024,0.00004612041,0.0002602072],"genre_scores_gemma":[0.9969864,0.0001726414,0.001906677,0.000009975897,0.000004137839,0.00001019769,0.00006571032,0.000009498402,0.0008346548],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001862299,"threshold_uncertainty_score":0.003702879,"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."}}