{"id":"W4414806534","doi":"10.1016/j.supmat.2025.100120","title":"Stimuli-responsive protein hydrogels: From dynamic tuning of hydrogel mechanics to shape morphing","year":2025,"lang":"en","type":"article","venue":"Supramolecular Materials","topic":"Advanced Materials and Mechanics","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Self-healing hydrogels; Morphing; Soft materials; Biomimetic materials; Rational design; Protein engineering","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":[0.0001956012,0.0003691154,0.0002280316,0.0002416578,0.00008461127,0.000395221,0.0002482249,0.0002964711,0.0005619842],"category_scores_gemma":[0.0001236907,0.0001790589,0.0001483273,0.0002155719,0.000251798,0.0005613594,0.0002327891,0.000369262,0.0003078651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002454458,"about_ca_system_score_gemma":0.0001604012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001473259,"about_ca_topic_score_gemma":0.0003428514,"domain_scores_codex":[0.9999437,0.000008220287,0.000004034841,0.00001215471,0.00002232572,0.000009562128],"domain_scores_gemma":[0.9999676,0.00001251373,0.000009777551,0.000001311201,0.000003412881,0.000005412112],"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":[0.00003241678,0.00002917028,0.00007263387,0.0009144293,0.00001044853,0.0001021956,0.00005741156,0.0005833863,0.9497397,0.004313638,0.0006431924,0.0435014],"study_design_scores_gemma":[0.00001953718,0.0002207119,0.000692041,0.0001135791,0.00002604137,0.000437517,0.00003357816,0.002765343,0.9040627,0.001560969,0.09004042,0.00002749554],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2392257,0.659577,0.0741149,0.001971249,0.0007408092,0.0001726547,0.0004583054,0.000779041,0.02296036],"genre_scores_gemma":[0.5707604,0.3769862,0.03807564,0.001245023,0.0004516746,0.0001696834,0.0003537689,0.0001293214,0.01182816],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0005619842,"threshold_uncertainty_score":0.00187999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006437788836641121,"score_gpt":0.2349412507652936,"score_spread":0.2285034619286525,"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."}}