{"id":"W4394852504","doi":"10.1039/d4sm00022f","title":"Flexible hydrogels connecting adhesion and wetting","year":2024,"lang":"en","type":"article","venue":"Soft Matter","topic":"Adhesion, Friction, and Surface Interactions","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Wetting; Wetting transition; Materials science; Adhesion; Elasticity (physics); Soft materials; Adhesive; Contact angle; Self-healing hydrogels; Composite material; Mechanics; Nanotechnology; Polymer chemistry; Physics; Layer (electronics)","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":[0.00005704494,0.0002170087,0.0001245881,0.0001713621,0.0001618066,0.0003459083,0.0002187921,0.000189989,0.001735229],"category_scores_gemma":[0.0001531048,0.0001230426,0.0001295115,0.0001563797,0.0002756218,0.0004223146,0.0004522094,0.000271451,0.0001650126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002502359,"about_ca_system_score_gemma":0.0001180186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002834563,"about_ca_topic_score_gemma":0.000462932,"domain_scores_codex":[0.9999158,0.000004714156,0.000003352521,0.00002548106,0.00002546845,0.00002513978],"domain_scores_gemma":[0.9999119,0.00001758977,0.00003505788,0.00001142063,0.000006591863,0.00001751655],"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":[0.00003236323,0.00001441469,0.0001682158,0.00004330039,0.000005054626,0.00005620093,0.0000334566,0.0007323678,0.9934717,0.00133277,0.0000568252,0.004053283],"study_design_scores_gemma":[0.000009968118,0.0001204702,0.002288032,0.000008035422,0.000008012603,0.0001113415,0.00004248173,0.005899352,0.988414,0.0009585231,0.002127259,0.00001238741],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860563,0.0006951339,0.008892831,0.00006287907,0.00003295757,0.00001433428,0.0001302369,0.0001065827,0.004008768],"genre_scores_gemma":[0.9968513,0.0002746643,0.001642904,0.00002901331,0.000005960914,0.00001036885,0.00005892937,0.00001186053,0.001115057],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001735229,"threshold_uncertainty_score":0.005804956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008505184844937416,"score_gpt":0.230203998833649,"score_spread":0.2216988139887116,"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."}}