{"id":"W4409966353","doi":"10.1016/j.fuel.2025.135505","title":"Thermodynamic and kinetic analysis of autothermal syngas-generating limestone calcination process for ammonia synthesis","year":2025,"lang":"en","type":"article","venue":"Fuel","topic":"Chemical Looping and Thermochemical Processes","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Catholic University of Korea","keywords":"Syngas; Calcination; Ammonia; Ammonia production; Kinetic energy; Thermodynamics; Process (computing); Chemistry; Chemical engineering; Materials science; Catalysis; Organic chemistry; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005888609,0.0001011079,0.0002318284,0.0001235841,0.00002677344,0.00001287502,0.00007795626,0.00006915376,0.00000971718],"category_scores_gemma":[0.0001104155,0.00009592341,0.00005866851,0.0004267969,0.00003246797,0.00003322605,0.00001171514,0.00005361286,3.239485e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002248921,"about_ca_system_score_gemma":0.00001380335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001210482,"about_ca_topic_score_gemma":0.0000055965,"domain_scores_codex":[0.9994916,0.000006368243,0.0001805359,0.0001396235,0.00005909148,0.0001228151],"domain_scores_gemma":[0.9995926,0.0001997593,0.00003156914,0.00009903909,0.0000538785,0.0000231681],"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":[0.00001716962,0.00003894353,0.0002559661,0.001792997,0.0006250371,2.532505e-7,0.0001423671,0.01861798,0.9685581,0.0005290531,0.00001696586,0.009405134],"study_design_scores_gemma":[0.0001419369,0.000007813335,0.001249062,0.0001003286,0.0005396066,2.83214e-7,0.00002303239,0.665393,0.3317719,0.000636958,0.00002131019,0.0001148086],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884474,0.00112451,0.008385214,0.00003039747,0.00003023752,0.00009657058,0.00002017963,0.0001087505,0.001756705],"genre_scores_gemma":[0.9991383,0.00002813365,0.0006502038,0.00001395134,0.00001665972,0.00005714241,0.00001292391,0.00001466733,0.00006802466],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6467751,"threshold_uncertainty_score":0.3911643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00723941663339769,"score_gpt":0.2499779942161528,"score_spread":0.2427385775827551,"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."}}