{"id":"W4403066525","doi":"10.1021/acs.biomac.4c00756","title":"Designing Biomimetic Strain-Stiffening into Synthetic Hydrogels","year":2024,"lang":"en","type":"review","venue":"Biomacromolecules","topic":"Advanced Materials and Mechanics","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Self-healing hydrogels; Stiffening; Polymer science; Strain (injury); Biomimetic materials; Chemistry; Materials science; Nanotechnology; Polymer chemistry; Composite material; Biology; Anatomy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000395736,0.0007557495,0.0005386891,0.001074194,0.0001571571,0.0004763013,0.0004424628,0.0006275618,0.001057673],"category_scores_gemma":[0.0002935217,0.0003934143,0.0003970166,0.0007254913,0.0002697079,0.0008221564,0.0004632728,0.001019878,0.0007631753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003057238,"about_ca_system_score_gemma":0.0002437696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002538413,"about_ca_topic_score_gemma":0.000461554,"domain_scores_codex":[0.9998848,0.00001499968,0.00001265519,0.00002532023,0.00004465095,0.00001746184],"domain_scores_gemma":[0.9999357,0.0000264999,0.00001793518,0.000002986968,0.00001060371,0.000006310602],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007812441,0.0002065976,0.0002202441,0.0252028,0.0001466258,0.0004224183,0.0001779093,0.002990073,0.3686933,0.01632729,0.006165644,0.5793689],"study_design_scores_gemma":[0.00005619528,0.0004754339,0.001170789,0.002103381,0.0001728291,0.001211698,0.00006351397,0.001456384,0.1843732,0.002264047,0.806585,0.00006754891],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01074691,0.9763052,0.0061273,0.0002669488,0.0003602942,0.0000831555,0.00008487853,0.00007856219,0.005946717],"genre_scores_gemma":[0.03099552,0.9564732,0.007617165,0.0004097977,0.0001483498,0.000113458,0.0001184378,0.00002150266,0.004102448],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.001074194,"threshold_uncertainty_score":0.003538311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02631842291374601,"score_gpt":0.2890511393356472,"score_spread":0.2627327164219012,"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."}}