{"id":"W2096507327","doi":"10.1002/aic.11967","title":"Chemical‐looping combustion process: Kinetics and mathematical modeling","year":2010,"lang":"en","type":"article","venue":"AIChE Journal","topic":"Chemical Looping and Thermochemical Processes","field":"Engineering","cited_by":133,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Chemical looping combustion; Methane; Microreactor; Chemistry; Methanation; Fluidized bed; Anaerobic oxidation of methane; Oxygen; Supercritical fluid; Syngas; Combustion; Propane; Chemical engineering; Catalysis; Organic 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001196092,0.0001359826,0.0001600684,0.00003445426,0.00005247656,0.00007897877,0.0001290977,0.0001416525,0.000136964],"category_scores_gemma":[0.0002206747,0.0001190255,0.00003606144,0.00008741035,0.00004785653,0.0001108731,0.00002414963,0.0008328017,0.00002142301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000156142,"about_ca_system_score_gemma":0.00001012769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":2.135139e-7,"about_ca_topic_score_gemma":1.313968e-7,"domain_scores_codex":[0.9992514,0.000004125478,0.0002554109,0.0001069503,0.0001580198,0.0002240625],"domain_scores_gemma":[0.9995684,0.0000573087,0.00003053249,0.00009469014,0.00007652245,0.0001725428],"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":[0.000006696284,0.00003347848,0.00001896668,0.0002501475,0.00002182938,0.000003090292,0.0001289656,0.002300367,0.9931145,0.0001856942,0.00009184204,0.003844375],"study_design_scores_gemma":[0.0004751726,0.00001919264,0.00000337683,0.0002495324,0.00005065371,0.0006836173,0.00007016891,0.4672501,0.4873056,0.04333237,0.0002051186,0.0003551496],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.982182,0.0003007895,0.01446436,0.0001322139,0.0001025593,0.00003677785,7.309475e-7,0.0001552693,0.002625294],"genre_scores_gemma":[0.9961563,0.00005786573,0.003369912,0.00003571677,0.0003296164,0.000002763378,0.000001886138,0.00002954161,0.00001644832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5058089,"threshold_uncertainty_score":0.4853721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008925005515812382,"score_gpt":0.2245804735307922,"score_spread":0.2156554680149798,"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."}}