{"id":"W4403730557","doi":"10.3390/polym16212984","title":"Temperature-Responsive Injectable Composite Hydrogels Based on Poly(N-Isopropylacrylamide), Chitosan, and Hemp-Derived Cellulose Nanocrystals","year":2024,"lang":"en","type":"article","venue":"Polymers","topic":"Hydrogels: synthesis, properties, applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Poly(N-isopropylacrylamide); Chitosan; Self-healing hydrogels; Materials science; Composite number; Cellulose; Lower critical solution temperature; Chemical engineering; Nanocrystal; Polymer chemistry; Nanotechnology; Composite material; Polymer; Copolymer","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":[0.0001507155,0.0004342638,0.0001870634,0.0002011361,0.00006326979,0.0001720939,0.0002031715,0.0002257814,0.0004484911],"category_scores_gemma":[0.0001324464,0.0001583604,0.0002660516,0.0001507198,0.0001416131,0.0002690109,0.0001251162,0.0003059906,0.0001328548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003077665,"about_ca_system_score_gemma":0.0002011422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005153791,"about_ca_topic_score_gemma":0.001228386,"domain_scores_codex":[0.9999219,0.000005682506,0.000006391127,0.00002228227,0.00002559207,0.00001800715],"domain_scores_gemma":[0.999866,0.00002424725,0.00005722471,0.000008529641,0.00002056168,0.00002332409],"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":[0.00001627039,0.000006567985,0.0000233075,0.00002443129,0.000001901359,0.00002473142,0.000002794691,0.00007877407,0.9991129,0.00003236092,0.000008744065,0.0006670665],"study_design_scores_gemma":[0.000004754504,0.00006628368,0.0005669306,0.000002550647,0.000006044319,0.00006963556,0.000002844111,0.0007963029,0.9980907,0.00001307544,0.0003768748,0.000003963553],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9728907,0.002538514,0.02137171,0.00007106057,0.00006870436,0.00007474778,0.0003653181,0.0001869501,0.002432412],"genre_scores_gemma":[0.9818751,0.001097357,0.01458743,0.0000519108,0.00001888005,0.0000601112,0.0001845878,0.00002548795,0.002099182],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005153791,"threshold_uncertainty_score":0.002233028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007853471047288093,"score_gpt":0.2281849423742282,"score_spread":0.2203314713269401,"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."}}