{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007667217,0.0001379977,0.0001009696,0.00003747801,0.00006007403,0.00006784598,0.0003892852,0.0001059924,0.004490453],"category_scores_gemma":[0.0000432382,0.0001319157,0.00005550155,0.00002775139,0.0001250023,0.000007596273,0.0001738995,0.00003498943,0.0004875234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002272318,"about_ca_system_score_gemma":0.00004507646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007275927,"about_ca_topic_score_gemma":0.00006853702,"domain_scores_codex":[0.999042,0.00002524366,0.0002414204,0.000351309,0.0001693877,0.0001706473],"domain_scores_gemma":[0.9994485,0.000008127307,0.00006735014,0.0003130995,0.00009758069,0.00006530798],"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":[0.00009435327,0.00009426267,0.0001926026,9.375524e-7,0.00009748866,3.181519e-7,0.00005887739,1.710453e-7,0.9954678,0.0002551867,0.002343086,0.001394954],"study_design_scores_gemma":[0.0003251119,0.00003782352,0.001111425,0.000005512512,0.00001184652,0.000005757575,0.000009941452,0.00002110038,0.8988236,0.00003463904,0.09946916,0.0001441208],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926496,0.0001364017,0.001975568,0.00065119,0.001306778,0.0001045974,0.000756109,0.00002272047,0.002396994],"genre_scores_gemma":[0.9912266,0.00001726557,0.0008635978,0.0004419789,0.003389186,0.00006586727,0.001283711,0.0000299286,0.002681872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09712607,"threshold_uncertainty_score":0.9964195,"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."}}