{"id":"W2317220349","doi":"10.1021/ef402142q","title":"Kinetics of Iron Ore Reduction by Methane for Chemical Looping Combustion","year":2014,"lang":"en","type":"article","venue":"Energy & Fuels","topic":"Chemical Looping and Thermochemical Processes","field":"Engineering","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Chemical looping combustion; Thermogravimetric analysis; Combustion; Isothermal process; Chemistry; Methane; Iron oxide; Oxide; Activation energy; Chemical kinetics; Chemical reaction; Diffusion; Iron ore; Atmosphere (unit); Kinetics; Reaction rate; Thermodynamics; Chemical engineering; Materials science; Metallurgy; Physical chemistry; Catalysis","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003697703,0.0002814423,0.0004238773,0.0002246077,0.0001789979,0.0001657422,0.000382392,0.0003591731,0.001316323],"category_scores_gemma":[0.0005336399,0.0001487207,0.0003529948,0.0001927342,0.000191798,0.0002457558,0.0001261254,0.00035925,0.0002649874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005271331,"about_ca_system_score_gemma":0.0002408841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002289451,"about_ca_topic_score_gemma":0.003220762,"domain_scores_codex":[0.9998313,0.00002510134,0.000008345839,0.00003559389,0.00006127269,0.00003830948],"domain_scores_gemma":[0.9998337,0.00009265061,0.00002531123,0.00000926868,0.00002914344,0.00000990738],"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":[0.0006468045,0.0001137672,0.001155275,0.0002105141,0.00001143322,0.00008104873,0.00009539234,0.00368394,0.9865584,0.0004410163,0.0001558077,0.006846605],"study_design_scores_gemma":[0.00002183169,0.0005744513,0.003333272,0.00001119326,0.00001225916,0.00006507608,0.00003247358,0.04786032,0.9467641,0.0001308159,0.001178811,0.00001545532],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958524,0.0005389546,0.002230447,0.00004062077,0.00001299966,0.00002383499,0.0001393757,0.00005749852,0.001103915],"genre_scores_gemma":[0.9972531,0.0002459083,0.001436103,0.000006401836,0.000002873492,0.00001319773,0.0001446926,0.0000100266,0.0008876703],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002289451,"threshold_uncertainty_score":0.004552305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007355676346990784,"score_gpt":0.2073790755330956,"score_spread":0.2000233991861048,"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."}}