{"id":"W2883371000","doi":"10.2174/1573413714666180723145038","title":"Nanocellulose-based Hydrogels for Biomedical Applications","year":2018,"lang":"en","type":"article","venue":"Current Nanoscience","topic":"Advanced Cellulose Research Studies","field":"Materials Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Self-healing hydrogels; Nanocellulose; Nanotechnology; Natural polymers; Materials science; Wound dressing; Polymer; Engineering; Composite material; Chemical engineering; Polymer chemistry; Cellulose","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":[0.0001435362,0.0005106095,0.0002755146,0.0003432614,0.0001603477,0.000373904,0.0002604937,0.0004691205,0.004074448],"category_scores_gemma":[0.0001270999,0.000120054,0.000234847,0.0003938413,0.0001196095,0.0005098867,0.0002791771,0.0006195427,0.001834002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000335871,"about_ca_system_score_gemma":0.0002573676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002897186,"about_ca_topic_score_gemma":0.0005972573,"domain_scores_codex":[0.9999027,0.000007516754,0.000007496773,0.00001823182,0.00004672659,0.00001727564],"domain_scores_gemma":[0.9999522,0.00001131243,0.00001194978,0.000003928771,0.00001031376,0.00001027266],"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":[0.00004450947,0.00003943373,0.00009055535,0.001009433,0.00001304584,0.0002109151,0.00003520948,0.0006009374,0.899418,0.003523871,0.002466977,0.09254706],"study_design_scores_gemma":[0.00001509567,0.0002216088,0.0005818944,0.0001954132,0.00003530593,0.0006786592,0.0000339283,0.001279089,0.7377805,0.001700181,0.2574514,0.00002698581],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1190691,0.6663747,0.1058509,0.002499978,0.002125929,0.0003755077,0.002118407,0.001481659,0.1001036],"genre_scores_gemma":[0.4649849,0.3720565,0.09239054,0.002074151,0.0009190935,0.0003311197,0.001465801,0.0002378062,0.06553999],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004074448,"threshold_uncertainty_score":0.01363039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04656714326083847,"score_gpt":0.3611874023010148,"score_spread":0.3146202590401763,"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."}}