{"id":"W4393067989","doi":"10.1002/adma.202400084","title":"A Biomimetic “Salting Out—Alignment—Locking” Tactic to Design Strong and Tough Hydrogel","year":2024,"lang":"en","type":"article","venue":"Advanced Materials","topic":"Advanced Materials and Mechanics","field":"Engineering","cited_by":172,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Canada Research Chairs; National Science Foundation","keywords":"Self-healing hydrogels; Materials science; Gelatin; Toughness; Soft robotics; Ultimate tensile strength; Soft materials; Composite material; Brittleness; Mechanical strength; Nanotechnology; Polymer; Actuator; Polymer chemistry; Computer science; Chemistry; Artificial intelligence","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":[0.0002055183,0.0004263296,0.0001705929,0.0001916015,0.0001129286,0.0002133708,0.0001859929,0.0002878549,0.0008439204],"category_scores_gemma":[0.0001956956,0.0001676152,0.0002497899,0.000156397,0.0002603505,0.0003990379,0.0002537208,0.0004072708,0.0002828818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000120364,"about_ca_system_score_gemma":0.0001573333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001303606,"about_ca_topic_score_gemma":0.0002802006,"domain_scores_codex":[0.9998913,0.00001372164,0.00001726391,0.00002570547,0.00003277115,0.00001925124],"domain_scores_gemma":[0.9998263,0.00002796864,0.00007447805,0.00001989819,0.00002356844,0.00002777463],"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":[0.00001240946,0.00001484747,0.00005446725,0.00003708635,0.000003500163,0.00002637884,0.000009398185,0.0001339432,0.997344,0.0002211398,0.00004221723,0.002100807],"study_design_scores_gemma":[0.00000569075,0.00009746222,0.000195947,0.000002383112,0.000004863719,0.0000534582,0.000003677172,0.001758565,0.9964399,0.00003629589,0.001395347,0.000006456224],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9015256,0.001793177,0.09075485,0.000370742,0.0002528738,0.000157305,0.0001519979,0.0004348679,0.004558637],"genre_scores_gemma":[0.9643927,0.0006493742,0.03218529,0.0002610227,0.00004962468,0.00007625838,0.00007917134,0.00004131362,0.002265193],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008439204,"threshold_uncertainty_score":0.002823174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01796647243659098,"score_gpt":0.257790739555017,"score_spread":0.2398242671184261,"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."}}