{"id":"W4411994702","doi":"10.1002/cssc.202500701","title":"Tuning the Properties of Lignin‐Derived Deep Eutectic Solvents for Biomass Processing","year":2025,"lang":"en","type":"article","venue":"ChemSusChem","topic":"Lignin and Wood Chemistry","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Division of Chemical, Bioengineering, Environmental, and Transport Systems; National Science Foundation","keywords":"Biorefinery; Fractionation; Lignin; Eutectic system; Biomass (ecology); Chemistry; Hydrogen bond; Chemical engineering; Density functional theory; Thermal stability; Organic chemistry; Pyrolysis; Materials science; Molecule; Computational chemistry; Raw material","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":[0.00008972137,0.0001402901,0.0001643458,0.00003232325,0.00009273214,0.00003276693,0.0002270536,0.00008717213,0.000001227331],"category_scores_gemma":[0.00004174511,0.0001046375,0.00007419673,0.0001913553,0.00006708952,0.00006310561,0.00004606366,0.0001025583,0.000001620512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000384159,"about_ca_system_score_gemma":0.00004146951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002008553,"about_ca_topic_score_gemma":8.818682e-7,"domain_scores_codex":[0.9993556,0.000003725811,0.0002045578,0.0001350297,0.00008504152,0.0002160709],"domain_scores_gemma":[0.9996341,0.00002960352,0.00003871027,0.0001967413,0.00007240391,0.00002838094],"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":[0.000004801937,0.00001481504,0.00007411414,0.001638093,0.00006382664,2.846952e-7,0.0004058061,0.00001977704,0.9946913,0.00001465008,0.001516732,0.0015558],"study_design_scores_gemma":[0.0003216567,0.000006257435,0.00001402242,0.0002861828,0.0000373781,0.00000121145,0.0004878761,0.006369979,0.9911032,0.00009209902,0.001162019,0.000118061],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9754319,0.00646125,0.002921163,0.0002329199,0.0003072117,0.0003890476,0.000003229278,0.0003657547,0.01388748],"genre_scores_gemma":[0.9987783,0.00001283139,0.000685305,0.00002888341,0.00006955258,0.00009652509,0.000003533321,0.00002476624,0.0003003048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02334635,"threshold_uncertainty_score":0.4266994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01568535371505695,"score_gpt":0.2180041552018944,"score_spread":0.2023188014868375,"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."}}