{"id":"W4408344803","doi":"10.1002/adfm.202424591","title":"Recent Advances in Green and Efficient Cellulose Utilization Through Structure Deconstruction and Regeneration","year":2025,"lang":"en","type":"article","venue":"Advanced Functional Materials","topic":"Advanced Cellulose Research Studies","field":"Materials Science","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Key Research and Development Program of Zhejiang Province; National Natural Science Foundation of China","keywords":"Materials science; Deconstruction (building); Regeneration (biology); Cellulose; Nanotechnology; Polymer science; Chemical engineering; Waste management; Engineering; Cell biology","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":[0.0002435798,0.0002099522,0.0002844073,0.0001457051,0.0002349232,0.0000743669,0.00006371831,0.00008699352,0.0002715747],"category_scores_gemma":[0.0001992115,0.0001892503,0.00001326791,0.000298579,0.0002297675,0.0006724279,0.0001310225,0.00008060686,0.000005973032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001346929,"about_ca_system_score_gemma":0.00005161817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001726318,"about_ca_topic_score_gemma":0.00008322576,"domain_scores_codex":[0.9983612,0.0001371102,0.0004140662,0.0005508888,0.0002462472,0.000290519],"domain_scores_gemma":[0.999364,0.0001334479,0.0001378392,0.000160913,0.0001602275,0.0000436168],"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":[0.000281449,0.00002493983,0.0002578743,0.000128575,0.000006012181,0.000002088062,0.00008525391,0.004317556,0.9362853,0.01287498,0.00001905276,0.04571697],"study_design_scores_gemma":[0.0009428378,0.00005589144,0.004246589,0.0001069542,0.00001286477,0.00001293955,0.0001920031,0.0002371333,0.9534947,0.03252605,0.007971912,0.000200107],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9687732,0.01740776,0.01127438,0.000394026,0.001232193,0.0004896776,0.00007170191,0.00006328493,0.0002938042],"genre_scores_gemma":[0.9778489,0.01736445,0.004155769,0.0001089086,0.0001044953,0.00008605132,0.00007693611,0.00001498534,0.0002394523],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04551686,"threshold_uncertainty_score":0.7717403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02132098459587442,"score_gpt":0.2948234059924863,"score_spread":0.2735024213966119,"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."}}