{"id":"W2019329095","doi":"10.1016/j.cej.2013.07.049","title":"Metal oxide-stabilized calcium oxide CO2 sorbent for multicycle operation","year":2013,"lang":"en","type":"article","venue":"Chemical Engineering Journal","topic":"Chemical Looping and Thermochemical Processes","field":"Engineering","cited_by":111,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies; Centre in Green Chemistry and Catalysis","keywords":"Sorbent; Calcination; Oxide; Calcium oxide; Metal; Materials science; Sintering; Chemical engineering; Molar ratio; Inorganic chemistry; Chemistry; Adsorption; Metallurgy; Organic chemistry; Catalysis","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":[0.0001343137,0.0003350673,0.0002915287,0.000260816,0.0003905128,0.0003070187,0.000465034,0.0003097757,0.001533599],"category_scores_gemma":[0.0001539018,0.0001676814,0.0001342922,0.0002446243,0.0001772433,0.0003156815,0.0003129435,0.0003817791,0.0004514221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000348369,"about_ca_system_score_gemma":0.0005941803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001730141,"about_ca_topic_score_gemma":0.006581046,"domain_scores_codex":[0.9998758,0.000008270556,0.000004518315,0.00003630317,0.00003762698,0.00003739577],"domain_scores_gemma":[0.9998952,0.00001483785,0.00001199873,0.0000116768,0.00003288292,0.00003335754],"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":[0.0001869168,0.00003450609,0.0001236127,0.00005694038,0.0000037543,0.00003532108,0.00001623963,0.0001517061,0.9950697,0.0001116738,0.0002076798,0.00400184],"study_design_scores_gemma":[0.00001674604,0.0002241023,0.0008313507,0.000002598438,0.00000622798,0.00004847413,0.00002407678,0.002109146,0.994842,0.00002768526,0.001859595,0.000008001439],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991146,0.0007847727,0.004702638,0.00007815853,0.00007889227,0.00003664384,0.00009131995,0.000183485,0.002897925],"genre_scores_gemma":[0.9903623,0.0003119273,0.003150692,0.00003401183,0.00001420599,0.00002214214,0.0001157774,0.00003418339,0.005954886],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001730141,"threshold_uncertainty_score":0.00513041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01153914220705327,"score_gpt":0.2161984756613915,"score_spread":0.2046593334543382,"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."}}