{"id":"W4392352330","doi":"10.1016/j.cej.2024.150105","title":"Robust and ultra-tough lignocellulosic organogel with zipper-like sliding noncovalent nanostructural design: Towards next-generation bio-derived flexible electronics","year":2024,"lang":"en","type":"article","venue":"Chemical Engineering Journal","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"National Key Research and Development Program of China; China Scholarship Council; National Natural Science Foundation of China","keywords":"Materials science; Toughness; Ultimate tensile strength; Supramolecular chemistry; Dynamic mechanical analysis; Nanotechnology; Polymer; Composite material; Chemistry; Organic chemistry; Molecule","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":[0.0001454958,0.0003554745,0.0002937598,0.0001220499,0.00009821211,0.0004511582,0.0001323934,0.0001460889,0.00003104512],"category_scores_gemma":[0.00004955673,0.0003024273,0.00005982168,0.000248317,0.00002698477,0.0004392405,0.00001885302,0.000493381,0.000004527673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002444406,"about_ca_system_score_gemma":0.00005686243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001295836,"about_ca_topic_score_gemma":1.641999e-7,"domain_scores_codex":[0.9986386,0.00001432918,0.0003349508,0.0002765693,0.0002122528,0.0005232884],"domain_scores_gemma":[0.9995194,0.00005701638,0.00003174384,0.0001274811,0.00004973034,0.0002146338],"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":[0.00000805388,0.000002711516,0.000001209773,0.0001000809,0.000050001,0.00003432098,0.00008651215,0.3790788,0.6195099,0.00004244601,0.00009718109,0.0009887913],"study_design_scores_gemma":[0.000222894,0.00004894545,0.000005380803,0.0002034135,0.00004245999,0.001043209,0.00001253353,0.2233008,0.7742956,0.00003502749,0.0004645646,0.0003251894],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6289415,0.004282242,0.3648705,0.00005645883,0.001037197,0.00008520602,0.000004034442,0.0006840137,0.00003875339],"genre_scores_gemma":[0.9483625,0.000749626,0.04976399,0.00001699899,0.000910571,0.000008383028,0.000016981,0.000128342,0.00004255677],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.319421,"threshold_uncertainty_score":0.9999428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03421991342768917,"score_gpt":0.2078728009201887,"score_spread":0.1736528874924995,"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."}}