{"id":"W2431864768","doi":"10.1021/acs.macromol.6b00874","title":"Elucidating Dynamics of Precoordinated Ionic Bridges as Sacrificial Bonds in Interpenetrating Network Hydrogels","year":2016,"lang":"en","type":"article","venue":"Macromolecules","topic":"Advanced Cellulose Research Studies","field":"Materials Science","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Science Fund for Distinguished Young Scholars; Fundamental Research Funds for the Central Universities; Ministry of Education of the People's Republic of China; University of British Columbia; National Natural Science Foundation of China","keywords":"Self-healing hydrogels; Materials science; Toughness; Ethylene glycol; Viscoelasticity; Ionic bonding; Elastomer; Interpenetrating polymer network; Polymer; Composite material; Strain rate; PEG ratio; Polymer chemistry; Chemical engineering; Chemistry; Ion; Organic chemistry","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":[0.0001638839,0.0002261334,0.00008325005,0.00006996505,0.00006918217,0.0001388581,0.0001487848,0.000148231,0.0005087582],"category_scores_gemma":[0.0001810578,0.0001057136,0.0001024066,0.00007077554,0.0001546666,0.0003769705,0.0001419117,0.0002629987,0.00008792456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001581234,"about_ca_system_score_gemma":0.0001187775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002217667,"about_ca_topic_score_gemma":0.0005008825,"domain_scores_codex":[0.9999335,0.00000695746,0.000004725375,0.00001782173,0.0000180242,0.00001894931],"domain_scores_gemma":[0.9998796,0.00003016768,0.00005299362,0.000008067098,0.00001139201,0.00001771536],"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":[0.00002053663,0.000008227074,0.0001026934,0.00002095047,0.00000178866,0.00001603655,0.00001273491,0.0001759549,0.9986345,0.00009939814,0.000005977052,0.0009010512],"study_design_scores_gemma":[0.000002286339,0.00004938725,0.0006036884,0.000002021375,0.000003693483,0.0000197099,0.000006850188,0.001412357,0.9976044,0.00002192558,0.0002713513,0.000002321989],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955509,0.0002406341,0.003647037,0.00001646829,0.000004576481,0.00001013504,0.00003233442,0.00001684086,0.0004809612],"genre_scores_gemma":[0.9967129,0.0002087028,0.002580819,0.00001321001,0.000002242738,0.00001245618,0.00003021411,0.000006090688,0.0004332746],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005087582,"threshold_uncertainty_score":0.001701951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01192414091483858,"score_gpt":0.278084234078348,"score_spread":0.2661600931635095,"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."}}