{"id":"W2173855315","doi":"10.1039/c5gc02396c","title":"Hydrogels based on cellulose and chitin: fabrication, properties, and applications","year":2015,"lang":"en","type":"article","venue":"Green Chemistry","topic":"Hydrogels: synthesis, properties, applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":663,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Office of Science; China Scholarship Council; U.S. Department of Energy","keywords":"Chitin; Self-healing hydrogels; Cellulose; Biocompatible material; Porosity; Chitosan; Fabrication; Chemical engineering; Materials science; Bacterial cellulose; Nanocellulose; Chemistry; Polymer science; Nanotechnology; Polymer chemistry; Organic chemistry; Composite material; Biomedical 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001575334,0.0001987764,0.0001405165,0.00002141432,0.000109235,0.00003711156,0.0001996178,0.0001701295,0.00001479871],"category_scores_gemma":[0.00008425047,0.0001858562,0.00003365477,0.00009530922,0.0002138789,0.000005472707,0.0001076866,0.00009976141,0.00002150695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000266413,"about_ca_system_score_gemma":0.0001359659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006206559,"about_ca_topic_score_gemma":0.00000455266,"domain_scores_codex":[0.9988692,0.00002693215,0.0002108233,0.0005269851,0.0001562381,0.0002098387],"domain_scores_gemma":[0.9989237,0.000009750861,0.00008686249,0.0006114122,0.0001219171,0.0002464069],"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":[0.00005952133,0.0001626223,0.002527065,0.0001237199,0.00003470596,8.482314e-7,0.00006631218,0.0000463405,0.978252,0.00002595648,0.001554911,0.01714602],"study_design_scores_gemma":[0.0004369238,0.00004565984,0.0002078305,0.00001750134,0.00002613261,0.00001809348,0.00005274173,0.001153813,0.8560801,0.00008508436,0.1416033,0.000272925],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9787456,0.002571749,0.004123098,0.001486757,0.00001767424,0.0007456085,0.00006877776,0.00008875656,0.01215192],"genre_scores_gemma":[0.9956439,0.00004637762,0.0006627277,0.0003860374,0.0002742019,0.0005330334,0.0001578768,0.00003604762,0.002259838],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1400483,"threshold_uncertainty_score":0.7578995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02419066059378971,"score_gpt":0.2203149000933992,"score_spread":0.1961242394996095,"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."}}