{"id":"W2890105741","doi":"10.1002/pi.5701","title":"Novel superabsorbent materials from bacterial cellulose","year":2018,"lang":"en","type":"article","venue":"Polymer International","topic":"Hydrogels: synthesis, properties, applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"Lakehead University","keywords":"Self-healing hydrogels; Swelling; Polyethylene glycol; Distilled water; Materials science; Methacrylate; Penetration (warfare); Absorption of water; Chemical engineering; Cellulose; Superabsorbent polymer; Bacterial cellulose; Glycidyl methacrylate; Polymer chemistry; Chemistry; Copolymer; Composite material; Chromatography; Polymer","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":[0.0002986438,0.00066978,0.0002360217,0.0005266477,0.00017849,0.0003401324,0.0003533657,0.0005048256,0.001811575],"category_scores_gemma":[0.0002523238,0.0002682815,0.0002712485,0.0002520747,0.0001686145,0.0004796633,0.0003832481,0.0006111573,0.001106285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003387347,"about_ca_system_score_gemma":0.0002214149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002480756,"about_ca_topic_score_gemma":0.0004405191,"domain_scores_codex":[0.9998139,0.00002476644,0.000008387343,0.00002647949,0.00008213802,0.00004445612],"domain_scores_gemma":[0.9997739,0.00004737492,0.00005215736,0.00001396913,0.00003521995,0.0000772689],"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":[0.00001588039,0.00001411181,0.0000238934,0.00008403854,0.00000306059,0.00008692229,0.000009758365,0.0000893593,0.9972119,0.0001883763,0.00008648224,0.002186117],"study_design_scores_gemma":[0.00001062471,0.00006047883,0.0004559373,0.00001092144,0.000006767067,0.0001736638,0.000008705999,0.0006166993,0.9938882,0.00009293584,0.004666494,0.000008503393],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8794172,0.0107198,0.09144539,0.0006200275,0.0002868716,0.0002934741,0.001057049,0.001114404,0.01504581],"genre_scores_gemma":[0.9352899,0.004478134,0.04730259,0.0003433061,0.00007836938,0.0002291275,0.0007888182,0.0001413644,0.01134839],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001811575,"threshold_uncertainty_score":0.006060302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01836518270239289,"score_gpt":0.2504927816514262,"score_spread":0.2321275989490333,"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."}}