{"id":"W4408216588","doi":"10.1016/j.cej.2025.161267","title":"Oxy-polishing of gas from chemical looping combustion: Fuel-nitrogen transformation and model-aided gas purity optimization","year":2025,"lang":"en","type":"article","venue":"Chemical Engineering Journal","topic":"Chemical Looping and Thermochemical Processes","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Energimyndigheten; Vetenskapsrådet; Foundation Fighting Blindness","keywords":"Chemical looping combustion; Combustion; Polishing; Nitrogen; Nitrogen gas; Chemical engineering; Materials science; Transformation (genetics); Chemistry; Waste management; Engineering; Metallurgy; Organic 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001279972,0.0002634502,0.0003899887,0.0001148604,0.00004338242,0.00009066005,0.0002293647,0.0002602886,0.0000229313],"category_scores_gemma":[0.0002422135,0.0002802306,0.0001135414,0.0002798217,0.00005991936,0.0003330274,0.00004973567,0.0006936502,7.660562e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001409974,"about_ca_system_score_gemma":0.00003370085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004584886,"about_ca_topic_score_gemma":6.280904e-8,"domain_scores_codex":[0.9986639,0.00000796442,0.0005899157,0.0001975634,0.000222397,0.0003182563],"domain_scores_gemma":[0.9993435,0.0001438517,0.00006815632,0.0001465917,0.0001113829,0.0001865437],"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":[0.00001977092,0.00002117386,0.00001490578,0.0004574287,0.00006988185,0.000001188833,0.0001498833,0.4775684,0.5204604,0.0001780832,0.00007229276,0.0009866215],"study_design_scores_gemma":[0.0004058552,0.000002875582,0.000001120811,0.0003535438,0.00004318171,0.00001585404,0.00001128713,0.5318918,0.4640458,0.003060471,0.00001931539,0.0001489453],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5672894,0.001746264,0.4299474,0.0001661269,0.0001321371,0.00007487632,0.0000139774,0.0002232574,0.0004065793],"genre_scores_gemma":[0.9747314,0.0003873988,0.02458589,0.0000304289,0.0001669178,0.000007173124,0.00005339379,0.00003535577,0.000002086893],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.407442,"threshold_uncertainty_score":0.999965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005836803768704503,"score_gpt":0.1908737834280059,"score_spread":0.1850369796593014,"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."}}