{"id":"W4412661450","doi":"10.1016/j.carbpol.2025.124094","title":"Leveraging topological reactivity of cellulose nanocrystals with allomorph II (CNC-II) to create temperature-sensitive systems for ibuprofen delivery","year":2025,"lang":"en","type":"article","venue":"Carbohydrate Polymers","topic":"Advanced Cellulose Research Studies","field":"Materials Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"Priority Academic Program Development of Jiangsu Higher Education Institutions; King Saud University; National Natural Science Foundation of China; Nanjing Forestry University","keywords":"Nanocrystal; Reactivity (psychology); Cellulose; Ibuprofen; Allomorph; Materials science; Chemical engineering; Topology (electrical circuits); Nanotechnology; Chemistry; Computer science; Organic chemistry; Mathematics; Medicine; Engineering; Combinatorics; Artificial intelligence","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005853263,0.000386236,0.00078008,0.0002576022,0.0006546886,0.00006310325,0.0003366214,0.0001425977,0.00002903147],"category_scores_gemma":[0.0002459964,0.0002986096,0.0001228374,0.0005851234,0.0004813359,0.0002272925,0.0005464208,0.0002028072,0.000005741406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002596995,"about_ca_system_score_gemma":0.0002646559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007405312,"about_ca_topic_score_gemma":0.00002835461,"domain_scores_codex":[0.9972654,0.0002462491,0.0004442362,0.0007787781,0.0004217997,0.0008435389],"domain_scores_gemma":[0.9981616,0.0004936348,0.0002011027,0.0004986513,0.0004399873,0.0002050978],"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":[0.000742123,0.0001005278,0.00005817362,0.0001688348,0.000117983,0.00004966181,0.001051232,0.0007478743,0.9956933,0.0008281415,0.000293017,0.0001491217],"study_design_scores_gemma":[0.0007097196,0.0005875175,0.000102971,0.0002716489,0.00007819942,0.000005272288,0.002009204,0.0002821438,0.9947116,0.00008258463,0.0008204188,0.0003387552],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920675,0.001171987,0.00155742,0.0006660527,0.0004830107,0.00144187,0.0001991754,0.0001122681,0.002300715],"genre_scores_gemma":[0.9939612,0.00009130738,0.0006265262,0.000163436,0.00007506622,0.0002771359,0.00002167867,0.00003233036,0.004751373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002450657,"threshold_uncertainty_score":0.9999466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01957574778313958,"score_gpt":0.2732713673811182,"score_spread":0.2536956195979786,"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."}}