{"id":"W3035574417","doi":"10.1021/acs.energyfuels.0c00377","title":"Reduction Characteristics of Iron Oxide by the Hemicellulose, Cellulose, and Lignin Components of Biomass","year":2020,"lang":"en","type":"article","venue":"Energy & Fuels","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Anhui University of Technology; National Natural Science Foundation of China","keywords":"Hemicellulose; Lignin; Cellulose; Chemistry; Iron oxide; Thermogravimetric analysis; Xylan; Hydrogen; Pyrolysis; Materials science; Chemical engineering; Organic chemistry","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":[0.00003772439,0.0001256127,0.000194096,0.0000260526,0.00001661955,0.000007292447,0.0001622347,0.0000780151,0.00002817131],"category_scores_gemma":[0.00001612659,0.0001061048,0.00003650847,0.0001685918,0.00009575833,0.00005686464,0.0000547655,0.00006428338,0.000003222169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001294569,"about_ca_system_score_gemma":0.000005386226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003746672,"about_ca_topic_score_gemma":2.019137e-7,"domain_scores_codex":[0.9993253,0.00001764335,0.0002657722,0.0001400205,0.0001324207,0.0001188285],"domain_scores_gemma":[0.999622,0.00004582074,0.00009598301,0.000129684,0.00003464399,0.00007179529],"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":[0.00001969304,0.00001732224,0.0000673437,0.0002195963,0.00002981513,7.667891e-7,0.0001327442,0.000001443494,0.9955134,0.00006378405,0.002392489,0.00154158],"study_design_scores_gemma":[0.0001784635,0.00002403047,0.0001099229,0.00002536516,0.0000223806,0.000002340973,0.00005313294,0.00007995166,0.9967298,0.0000399136,0.002633117,0.0001015837],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997787,0.001257756,0.0001349571,0.0001817991,0.00009042709,0.00003831808,0.00003615802,0.00006437276,0.0004092248],"genre_scores_gemma":[0.9994094,0.0002334761,0.0001103217,0.00003142682,0.00003844882,0.000003568393,0.0000513437,0.00002201889,0.00009993357],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001622475,"threshold_uncertainty_score":0.4326828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008921409603511924,"score_gpt":0.1798673944088669,"score_spread":0.170945984805355,"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."}}