{"id":"W2901998991","doi":"10.1088/1361-665x/aaf5b6","title":"Unraveling bio-inspired pre-swollen effects of tetra-polyethylene glycol double network hydrogels with ultra-stretchable yielding strain","year":2018,"lang":"en","type":"article","venue":"Smart Materials and Structures","topic":"Hydrogels: synthesis, properties, applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Northwest Fisheries Science Center; National Natural Science Foundation of China","keywords":"Self-healing hydrogels; Materials science; Polyethylene glycol; Toughness; Composite material; Toughening; PEG ratio; Brittleness; Polymer chemistry; Chemical engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00009599965,0.0002874778,0.00008011443,0.0000810772,0.00006114316,0.0001175915,0.0001404435,0.0001549533,0.0003838562],"category_scores_gemma":[0.0001215806,0.0001329505,0.000142584,0.00005602104,0.0001820058,0.0004061677,0.0001437837,0.0002602966,0.00007377481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001211406,"about_ca_system_score_gemma":0.00009265887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001299138,"about_ca_topic_score_gemma":0.0003223268,"domain_scores_codex":[0.9999583,0.000005443534,0.000003029534,0.000008754176,0.00001386762,0.00001072505],"domain_scores_gemma":[0.9999149,0.00002618238,0.00003042749,0.000008035179,0.000007845325,0.00001263227],"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":[0.000008644132,0.000006956117,0.00004487831,0.00001777879,0.000001254926,0.00001620072,0.0000083594,0.000383965,0.9986826,0.0001763732,0.000005101585,0.000647763],"study_design_scores_gemma":[0.000002963771,0.00007486273,0.0005312014,0.000002003744,0.000004250891,0.00003272613,0.000008488395,0.008342546,0.9905632,0.00007314911,0.0003610125,0.000003534979],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990764,0.0003425241,0.00819642,0.00002595086,0.000008643454,0.000009424107,0.00001651358,0.00002511569,0.000611482],"genre_scores_gemma":[0.9960158,0.0002349886,0.003325094,0.0000157858,0.000003947874,0.000007762665,0.00001536351,0.000007512655,0.0003736138],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0003838562,"threshold_uncertainty_score":0.001284122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0085346814326018,"score_gpt":0.2243294552780549,"score_spread":0.2157947738454531,"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."}}