{"id":"W4211176692","doi":"10.1002/cssc.202102535","title":"Mechanochemical Transformations of Biomass into Functional Materials","year":2022,"lang":"en","type":"review","venue":"ChemSusChem","topic":"Lignin and Wood Chemistry","field":"Engineering","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; McGill University; Centre in Green Chemistry and Catalysis","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Mitacs; McGill University; Fonds Québécois de la Recherche sur la Nature et les Technologies; Parks Canada; National Research Council Sri Lanka; Marine Environmental Observation Prediction and Response Network","keywords":"Biomass (ecology); Biochemical engineering; Hemicellulose; Context (archaeology); Environmentally friendly; Mechanochemistry; Cellulose; Biopolymer; Renewable energy; Environmental science; Nanotechnology; Materials science; Chemistry; Engineering; Organic chemistry; Ecology","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001069088,0.0003376382,0.000922881,0.0000922944,0.00004419685,0.00001593337,0.0002841287,0.0003247068,0.001562386],"category_scores_gemma":[0.00001301271,0.0003318272,0.0003363298,0.0002788382,0.00003621405,0.00005632493,0.00006010033,0.0002818804,0.00004394054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001705612,"about_ca_system_score_gemma":0.00009010835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000153454,"about_ca_topic_score_gemma":6.6301e-8,"domain_scores_codex":[0.9987207,0.00001288584,0.0006322607,0.0001971068,0.0002316591,0.0002054074],"domain_scores_gemma":[0.9994216,0.00007314049,0.00009979962,0.0003072588,0.00001870864,0.0000795233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004962829,0.0001392247,1.00212e-7,0.3024491,0.001295674,0.00001089135,0.0003133399,0.000003343305,0.3963818,0.0003394516,0.07824474,0.2208174],"study_design_scores_gemma":[0.00006133867,0.000002826049,2.870136e-9,0.0003883158,0.0001296793,0.00001143988,0.00001021655,0.000001607984,0.4580312,0.00003855873,0.5411506,0.0001741979],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0000489779,0.989331,0.00007173736,0.000004200715,0.0005494854,0.0001910352,0.0002221778,0.0002264793,0.009354906],"genre_scores_gemma":[0.0005827847,0.9967013,0.0002592869,0.000003193734,0.0002328818,0.0002725756,0.00174392,0.00008111437,0.0001229506],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.4629059,"threshold_uncertainty_score":0.9999134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0350780879690948,"score_gpt":0.2519420044441175,"score_spread":0.2168639164750227,"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."}}