{"id":"W4406560893","doi":"10.1016/j.jece.2025.115460","title":"Optimum phenolic monomer production by competing catalytic depolymerization and repolymerization of oak-extracted organosolv lignin","year":2025,"lang":"en","type":"article","venue":"Journal of environmental chemical engineering","topic":"Lignin and Wood Chemistry","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Research Foundation of Korea; Ministry of Science and ICT, South Korea; Ministry of Trade, Industry and Energy","keywords":"Organosolv; Depolymerization; Lignin; Chemistry; Monomer; Catalysis; Organic chemistry; Chemical engineering; Pulp and paper industry; Polymer","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":[0.0003316951,0.0003995552,0.0002724745,0.0001951042,0.0001089122,0.0003382542,0.0003157402,0.0003897134,0.0004643197],"category_scores_gemma":[0.0002313917,0.0002063739,0.0002911571,0.0002369843,0.0001306049,0.0003359101,0.0001834874,0.0003990143,0.0002418595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002199718,"about_ca_system_score_gemma":0.0002166601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004731322,"about_ca_topic_score_gemma":0.001455797,"domain_scores_codex":[0.9997182,0.00004183389,0.00002951787,0.0000692935,0.00006675046,0.00007426801],"domain_scores_gemma":[0.9998939,0.00002306316,0.00003633753,0.00001016168,0.00002114327,0.00001544707],"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":[0.00003065371,0.00002010864,0.0001116823,0.00005127053,0.000004853286,0.00003389579,0.000009344424,0.0001215486,0.9987569,0.00004266343,0.00001363264,0.0008035367],"study_design_scores_gemma":[0.000002414262,0.00006490317,0.0004786963,0.000003110943,0.000006379832,0.0000214187,0.000005545591,0.0004923788,0.9986213,0.000008234728,0.0002931877,0.000002281517],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957752,0.0008731929,0.002085929,0.00002594054,0.000008772171,0.00001708956,0.0001112723,0.00003849378,0.001064044],"genre_scores_gemma":[0.9969224,0.0005203385,0.001893916,0.00001328486,0.000002725406,0.00001071497,0.00010629,0.00001299249,0.000517172],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004731322,"threshold_uncertainty_score":0.001754224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.001459659214397448,"score_gpt":0.1511110105912691,"score_spread":0.1496513513768717,"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."}}