{"id":"W2340619674","doi":"10.1115/1.4033431","title":"Mechanochemically Responsive Viscoelastic Elastomers","year":2016,"lang":"en","type":"article","venue":"Journal of Applied Mechanics","topic":"Force Microscopy Techniques and Applications","field":"Physics and Astronomy","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Viscoelasticity; Elastomer; Polymer; Materials science; Stress relaxation; Mechanochemistry; Polymer science; Nanotechnology; Composite material; Creep","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001273465,0.0003008294,0.0001823233,0.0001827912,0.0001551354,0.000232232,0.0004092408,0.0005543829,0.001425357],"category_scores_gemma":[0.0003711363,0.000202797,0.0002426036,0.0001247672,0.0003785614,0.0006096105,0.0002070683,0.0003977269,0.0003111891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002035061,"about_ca_system_score_gemma":0.0001551696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002013122,"about_ca_topic_score_gemma":0.000246028,"domain_scores_codex":[0.9999046,0.00001150911,0.00000379872,0.00003090227,0.00003165927,0.00001743483],"domain_scores_gemma":[0.9998894,0.00004439373,0.00003686675,0.00001273896,0.000008832423,0.000007828541],"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":[0.00002879394,0.00006305732,0.0003307145,0.0001928787,0.000009142691,0.0001578146,0.00006982932,0.03629091,0.8965862,0.05518478,0.0003133496,0.01077258],"study_design_scores_gemma":[0.0000209569,0.0001872642,0.001057279,0.00005093617,0.00001534066,0.0003433321,0.00005064985,0.5494394,0.4248908,0.01168415,0.01221698,0.00004281299],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5467327,0.004457083,0.4228189,0.000715766,0.0002076566,0.00009550994,0.0002078256,0.0005953103,0.02416934],"genre_scores_gemma":[0.959831,0.002102134,0.03198068,0.0001737061,0.0000402802,0.00007204366,0.00007694546,0.00002467637,0.005698661],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001425357,"threshold_uncertainty_score":0.004768312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004266194102394468,"score_gpt":0.2320381774002725,"score_spread":0.2277719832978781,"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."}}