{"id":"W4213155149","doi":"10.21203/rs.3.rs-231511/v1","title":"Highly Viscoelastic, Stretchable, Conductive, and Self-Healing Strain Sensors based on Cellulose Nanofibers-Reinforced Polyacrylic Acid Hydrogel","year":2021,"lang":"en","type":"preprint","venue":"Research Square","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Postdoctoral Science Foundation of Jiangsu Province; Qinglan Project of Jiangsu Province of China; China Postdoctoral Science Foundation; Priority Academic Program Development of Jiangsu Higher Education Institutions; Government of Jiangsu Province; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China; Nanjing Forestry University","keywords":"Polyacrylic acid; Self-healing; Nanofiber; Viscoelasticity; Materials science; Cellulose; Composite material; Electrical conductor; Bacterial cellulose; Strain (injury); Polymer science; Polymer chemistry; Polymer; 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":[0.0001492106,0.0003227945,0.0001077475,0.0002232694,0.00006351795,0.0001542744,0.0001650049,0.0002342941,0.000469678],"category_scores_gemma":[0.0001874001,0.0001141796,0.0001233819,0.0001223075,0.0001285286,0.0003588772,0.00009004043,0.0001869461,0.0001458822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002138441,"about_ca_system_score_gemma":0.0001211456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003690142,"about_ca_topic_score_gemma":0.0007698202,"domain_scores_codex":[0.9999094,0.0000102635,0.000006893795,0.00002458641,0.00003545741,0.00001344207],"domain_scores_gemma":[0.9998567,0.00002642654,0.00006101994,0.000008184858,0.00002054559,0.00002711736],"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":[0.00001394021,0.00001095992,0.00007731867,0.00002058578,0.000001986905,0.00002635454,0.000004614471,0.0000941578,0.9983315,0.00003196112,0.00002013974,0.00136642],"study_design_scores_gemma":[0.000003968323,0.00004353575,0.0007966376,0.000002490224,0.000004073594,0.00005789621,0.000004113084,0.0018574,0.9968705,0.00001144883,0.0003432231,0.000004879612],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9820224,0.001582703,0.01455119,0.00009995122,0.00005171943,0.00003032908,0.0001709733,0.0001694214,0.001321333],"genre_scores_gemma":[0.9835305,0.0005785089,0.0140729,0.0000518736,0.000015617,0.0000248926,0.00008045749,0.00001708723,0.001628233],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000469678,"threshold_uncertainty_score":0.001571238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0283662818895227,"score_gpt":0.2944211023209019,"score_spread":0.2660548204313792,"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."}}