{"id":"W3216090921","doi":"10.1016/j.carbpol.2021.118888","title":"One-step programmable electrofabrication of chitosan asymmetric hydrogels with 3D shape deformation","year":2021,"lang":"en","type":"article","venue":"Carbohydrate Polymers","topic":"Advanced Materials and Mechanics","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Guangxi Key Research and Development Program; National Key Research and Development Program of China; China Scholarship Council; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; Canada Research Chairs","keywords":"Self-healing hydrogels; Chitosan; Materials science; Nanotechnology; Smart material; Two step; Process (computing); Shape change; Electric field; Chemical engineering; Chemistry; Polymer chemistry; Computer science; Physics; Combinatorial chemistry; Biophysics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00009476296,0.000417947,0.0001827909,0.0001386437,0.0001283967,0.000214781,0.0003398959,0.0003063313,0.001417125],"category_scores_gemma":[0.0001703993,0.0001899815,0.0002666777,0.0001667313,0.0002077343,0.0002031198,0.000340996,0.0004399184,0.0003678856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003866371,"about_ca_system_score_gemma":0.000214693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008428764,"about_ca_topic_score_gemma":0.002059037,"domain_scores_codex":[0.999879,0.000005527321,0.000007040365,0.00002463105,0.00003888572,0.00004487961],"domain_scores_gemma":[0.9999222,0.00001721719,0.0000239526,0.00001313312,0.0000099708,0.00001349183],"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":[0.00003070576,0.00001335496,0.00003786485,0.00003984193,0.000005001615,0.0000611691,0.00002585342,0.0004897097,0.9953482,0.0002217646,0.0001313537,0.003595247],"study_design_scores_gemma":[0.0000110263,0.00003493471,0.0005690128,0.00000220436,0.000003409111,0.00004409209,0.000008634306,0.002168552,0.9960055,0.00003910189,0.001100954,0.00001246029],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.975742,0.0007373765,0.01495878,0.0001476623,0.00009355578,0.00005702622,0.000323423,0.0003963111,0.007543912],"genre_scores_gemma":[0.9913692,0.0002561136,0.005654172,0.00007207776,0.000009977109,0.00003676706,0.0001052115,0.00004267458,0.002453892],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001417125,"threshold_uncertainty_score":0.004740775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007557303969416076,"score_gpt":0.1997201756549163,"score_spread":0.1921628716855002,"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."}}