{"id":"W4408237940","doi":"10.1021/acsabm.4c01803","title":"From Unprintable Peptidic Gel to Unstoppable: Transforming Diphenylalanine Peptide (Fmoc-FF) Nanowires and Cellulose Nanofibrils into a High-Performance Biobased Gel for 3D Printing","year":2025,"lang":"en","type":"article","venue":"ACS Applied Bio Materials","topic":"Supramolecular Self-Assembly in Materials","field":"Materials Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Innovation Cluster (Canada)","funders":"Fachagentur Nachwachsende Rohstoffe","keywords":"Cellulose; Peptide; Nanowire; Materials science; Self-assembling peptide; Chemical engineering; Polymer chemistry; Nanotechnology; Chemistry; Nanofiber; Organic chemistry; Biochemistry","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":[0.0001397185,0.0002896443,0.0001327186,0.0001946108,0.00008759107,0.0002893831,0.0001710503,0.0002611435,0.00108392],"category_scores_gemma":[0.00009657359,0.0001649144,0.0002354268,0.0001095639,0.0001431628,0.0001999242,0.0001642066,0.000386506,0.0006778709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001573183,"about_ca_system_score_gemma":0.0001155731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002252928,"about_ca_topic_score_gemma":0.0004556016,"domain_scores_codex":[0.9999166,0.000005640916,0.000007327948,0.00002636368,0.00002920331,0.00001501232],"domain_scores_gemma":[0.999928,0.00001959477,0.00002207558,0.000007804534,0.000008198801,0.00001432715],"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":[0.000007130885,0.00000282745,0.00001717748,0.0000114813,7.517926e-7,0.0000226021,0.000004741481,0.00002886095,0.9992898,0.00001830182,0.00001103347,0.0005852573],"study_design_scores_gemma":[0.000001111328,0.00001643042,0.0002561212,0.000001050656,0.000001405644,0.00004523003,0.000002340736,0.0002101618,0.9988931,0.00001010827,0.0005616737,0.000001430005],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8997148,0.001698419,0.09050792,0.0001824829,0.0001168182,0.0001256957,0.001110924,0.001038527,0.005504408],"genre_scores_gemma":[0.9028038,0.001722558,0.08495928,0.0001453276,0.0000257714,0.0001234558,0.001279515,0.0002733554,0.008667084],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00108392,"threshold_uncertainty_score":0.003626049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006682014564816475,"score_gpt":0.2309453423697911,"score_spread":0.2242633278049746,"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."}}