{"id":"W4404649307","doi":"10.1016/j.psep.2024.11.083","title":"Efficient and low-emission approaches for cost-effective hydrogen, power, and heat production based on chemical looping combustion","year":2024,"lang":"en","type":"article","venue":"Process Safety and Environmental Protection","topic":"Chemical Looping and Thermochemical Processes","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Innovation Cluster (Canada)","funders":"University of Tabriz","keywords":"Chemical looping combustion; Combustion; Hydrogen production; Hydrogen; Production (economics); Power (physics); Waste management; Environmental science; Process engineering; Chemistry; Nuclear engineering; Engineering; Thermodynamics; Physics; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001287847,0.0001956945,0.0001441732,0.00004900603,0.0001410457,0.00003768519,0.00002555741,0.0001334329,0.000003509443],"category_scores_gemma":[0.00003524772,0.00017915,0.00002802365,0.0000835235,0.0001059068,0.00007710839,0.00001918361,0.0002196821,0.000001060762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001194785,"about_ca_system_score_gemma":0.000004144125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001311131,"about_ca_topic_score_gemma":6.905496e-8,"domain_scores_codex":[0.9991371,0.00001199262,0.0001502934,0.0004179222,0.0001139371,0.000168729],"domain_scores_gemma":[0.999779,0.00005299393,0.00001537188,0.00006511259,0.000004379856,0.00008313913],"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":[0.0006721917,0.0001525897,0.00003080061,0.005357654,0.00004269246,8.960202e-7,0.000376591,0.2217105,0.6584549,0.00002459562,0.00000503389,0.1131715],"study_design_scores_gemma":[0.0002809278,0.00006781773,0.00002749881,0.0003653338,0.0000200868,0.00001544333,0.00005421767,0.6207101,0.3779677,0.0002431373,0.00009035743,0.0001574276],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9469557,0.002142855,0.04834807,0.0002182327,0.0001001847,0.001856994,0.00001926824,0.0002699353,0.00008878986],"genre_scores_gemma":[0.9991524,0.0001318964,0.00004263038,0.0000140893,0.00006916634,0.0005079088,0.00004266774,0.00003223081,0.00000697285],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3989995,"threshold_uncertainty_score":0.7305526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009385241111426993,"score_gpt":0.1974138064101051,"score_spread":0.1880285652986781,"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."}}