{"id":"W2965611158","doi":"10.1016/j.jclepro.2019.117855","title":"Spectroscopic analyses combined with Gaussian and Coats-Redfern models to investigate the characteristics and pyrolysis kinetics of sugarcane residue-derived biochars","year":2019,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":59,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"Chinese Research Academy of Environmental Sciences; National Natural Science Foundation of China","keywords":"Pyrolysis; Chemistry; Lignin; Residue (chemistry); Cellulose; Hemicellulose; Organic chemistry; Carbon fibers; Crop residue; Materials science","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":[0.000497231,0.0006009764,0.0003056262,0.000924287,0.0004369169,0.0004237979,0.0006907525,0.0004803382,0.001496301],"category_scores_gemma":[0.0006192797,0.0002409119,0.0008025385,0.00116975,0.0002313837,0.0006955283,0.0003932298,0.0008871412,0.0003923338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004816217,"about_ca_system_score_gemma":0.0007461659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005974604,"about_ca_topic_score_gemma":0.007323069,"domain_scores_codex":[0.999788,0.00002264865,0.000006713605,0.00004087253,0.0001062581,0.00003551108],"domain_scores_gemma":[0.9997849,0.0000617769,0.00002124774,0.00002802063,0.00009163059,0.00001251341],"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":[0.0003724088,0.0003574429,0.004141539,0.000278148,0.0001169977,0.0001963199,0.0003479166,0.07049756,0.854772,0.01139464,0.001361029,0.05616397],"study_design_scores_gemma":[0.00001771316,0.00009290623,0.003549234,0.000007883846,0.00004933276,0.00008039016,0.0001381465,0.6361842,0.3562228,0.001524277,0.002092069,0.00004096255],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7505143,0.0008533741,0.242068,0.0001891895,0.0000981229,0.0000739841,0.0008159525,0.001340972,0.004046123],"genre_scores_gemma":[0.9616041,0.0005856291,0.03528474,0.00003689329,0.000008563548,0.00003459817,0.0003850225,0.0001132176,0.001947311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005974604,"threshold_uncertainty_score":0.01187962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708805519167513,"score_gpt":0.2238275851168988,"score_spread":0.2067395299252237,"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."}}