{"id":"W2006627024","doi":"10.2298/tsci0901089m","title":"Improvement of CaO-based sorbent performance for CO2 looping cycles","year":2009,"lang":"en","type":"article","venue":"Thermal Science","topic":"Chemical Looping and Thermochemical Processes","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Calcium looping; Process engineering; Fossil fuel; Sorbent; Environmental science; Fluidized bed; Lime; Computer science; Chemical looping combustion; Co2 removal; Waste management; Materials science; Carbon dioxide; Engineering; Adsorption; Chemistry","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":[0.0004071844,0.0003577452,0.0003381855,0.0003460305,0.0002763362,0.0004450434,0.000481703,0.0004179988,0.001896086],"category_scores_gemma":[0.0009024496,0.0001403694,0.0002169197,0.0002824393,0.0002493057,0.000626745,0.0002545099,0.0003643486,0.000349611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000425259,"about_ca_system_score_gemma":0.000295234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00112735,"about_ca_topic_score_gemma":0.002897747,"domain_scores_codex":[0.9997589,0.00002897021,0.00001320867,0.0000413366,0.0001158661,0.00004170318],"domain_scores_gemma":[0.9997187,0.00009560254,0.00003286125,0.00002181264,0.00009681356,0.00003421879],"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":[0.0001424578,0.00006732335,0.00033511,0.0001077876,0.000004750137,0.00002690135,0.00002780562,0.0007731402,0.9888969,0.0002085259,0.00007413659,0.009335279],"study_design_scores_gemma":[0.00001210345,0.0002729435,0.0009200987,0.000003709798,0.000006054297,0.0000390321,0.00001563709,0.002916135,0.9933851,0.00004119809,0.002380057,0.000007965559],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888794,0.001164323,0.006458682,0.0001716956,0.00006066439,0.00006200394,0.00007566101,0.0001331974,0.002994318],"genre_scores_gemma":[0.9869125,0.00102574,0.008744083,0.00006339157,0.00002727715,0.00002038847,0.0001228376,0.00004506863,0.003038611],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001896086,"threshold_uncertainty_score":0.006343007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009726495703427703,"score_gpt":0.2280151205867882,"score_spread":0.2182886248833605,"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."}}