{"id":"W4405916438","doi":"10.1002/adma.202416916","title":"A Universal Strategy to Mitigate Microphase Separation via Cellulose Nanocrystal Hydration in Fabricating Strong, Tough, and Fatigue‐Resistant Hydrogels","year":2024,"lang":"en","type":"article","venue":"Advanced Materials","topic":"Advanced Cellulose Research Studies","field":"Materials Science","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Canada Research Chairs; China Scholarship Council; Canada Foundation for Innovation","keywords":"Materials science; Self-healing hydrogels; Toughness; Ultimate tensile strength; Polymer; Nanocrystal; Polyacrylic acid; Composite material; Chemical engineering; Phase (matter); Cellulose; Nanotechnology; Polymer chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005987543,0.0003309954,0.0004202904,0.00024454,0.0001703899,0.0003519972,0.0001892203,0.00008166275,0.0001709868],"category_scores_gemma":[0.0001357177,0.0003169185,0.00003711396,0.000389929,0.0001427378,0.001041278,0.0002014247,0.0001099079,0.00008631039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003662037,"about_ca_system_score_gemma":0.0001153238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001734175,"about_ca_topic_score_gemma":0.0001366544,"domain_scores_codex":[0.9973134,0.00021057,0.0005982504,0.0008004329,0.0004207361,0.0006565919],"domain_scores_gemma":[0.9991338,0.0001680224,0.0001257785,0.0002804276,0.0001130973,0.0001788414],"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":[0.0002597951,0.00003485037,0.000003365442,0.0002075487,0.00001152101,0.0001460786,0.0006450219,0.003043133,0.9900243,0.001124159,0.00003373753,0.00446655],"study_design_scores_gemma":[0.0005103735,0.0003422984,0.00003395477,0.000240519,0.00001466592,0.0000104402,0.0003609824,0.0007756244,0.9948332,0.001564739,0.0009703408,0.0003429173],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.978472,0.001049849,0.01842853,0.0001546511,0.0003212295,0.0009120654,0.0001845376,0.0001821251,0.0002949875],"genre_scores_gemma":[0.9929867,0.0001025407,0.006190862,0.00002527263,0.00009578526,0.0001484457,0.00004750142,0.0000463758,0.0003565518],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01451464,"threshold_uncertainty_score":0.9999283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01919436442872462,"score_gpt":0.3190005021950691,"score_spread":0.2998061377663445,"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."}}