{"id":"W2886356194","doi":"10.1021/acsbiomaterials.8b00657","title":"Ultraflexible Self-Healing Guar Gum-Glycerol Hydrogel with Injectable, Antifreeze, and Strain-Sensitive Properties","year":2018,"lang":"en","type":"article","venue":"ACS Biomaterials Science & Engineering","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":225,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"National Key Research and Development Program of China; Ministry of Science and Technology of the People's Republic of China","keywords":"Self-healing hydrogels; Guar gum; Glycerol; Materials science; Borax; Self-healing; Flexibility (engineering); Strain (injury); Composite material; Chemical engineering; Polymer chemistry; Chemistry; Organic chemistry","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":[0.0001254762,0.0002992743,0.0001090108,0.0001455577,0.00008421211,0.0001577809,0.000163843,0.0002220354,0.0004252434],"category_scores_gemma":[0.00009714199,0.0001280376,0.0001534061,0.00009505384,0.0001826442,0.0003497392,0.0001856968,0.0002807578,0.0001258818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001980078,"about_ca_system_score_gemma":0.00013357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002860228,"about_ca_topic_score_gemma":0.0008341824,"domain_scores_codex":[0.9999436,0.0000049808,0.000003990172,0.00001359542,0.0000157933,0.00001818082],"domain_scores_gemma":[0.9999216,0.00001128004,0.00003275539,0.000006142569,0.000007172822,0.00002113478],"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":[0.00001743647,0.00001447103,0.00004468823,0.00002475934,0.000001747442,0.00001987701,0.00000944099,0.0001213407,0.9982051,0.000112847,0.00002346681,0.001404725],"study_design_scores_gemma":[0.00001076639,0.0001170707,0.0004243244,0.000002437049,0.000006687612,0.00005929217,0.000004931023,0.001065597,0.9975796,0.00003292317,0.0006909234,0.000005407525],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9843717,0.001588266,0.0124622,0.0001369151,0.00004864514,0.00003515791,0.0001461133,0.0001703824,0.001040685],"genre_scores_gemma":[0.9836596,0.0005216756,0.01427099,0.00007287494,0.0000118244,0.0000298048,0.00009935512,0.00002248794,0.001311337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004252434,"threshold_uncertainty_score":0.001436651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01070711137300537,"score_gpt":0.203239610508848,"score_spread":0.1925324991358426,"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."}}