{"id":"W2947633383","doi":"10.1021/acsomega.9b00651","title":"Sustainable Production of Cellulose-Based Hydrogels with Superb Absorbing Potential in Physiological Saline","year":2019,"lang":"en","type":"article","venue":"ACS Omega","topic":"Hydrogels: synthesis, properties, applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":156,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Lakehead University","funders":"Lakehead University","keywords":"Self-healing hydrogels; Distilled water; Cellulose; Carboxymethyl cellulose; Epichlorohydrin; Materials science; Swelling; Fourier transform infrared spectroscopy; Chemical engineering; Water retention; Polymer; Nuclear chemistry; Swelling capacity; Aqueous solution; Chemistry; Polymer chemistry; Sodium; Composite material; Organic chemistry; Chromatography","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":[],"consensus_categories":[],"category_scores_codex":[0.0001954174,0.0001398598,0.000188014,0.00006465479,0.00003561993,0.00001080329,0.000186103,0.0001280307,0.00001325584],"category_scores_gemma":[0.00006152682,0.0001121704,0.00004879103,0.0001890587,0.00009930235,0.000009453241,0.00006861014,0.00009030743,0.00001898324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002875528,"about_ca_system_score_gemma":0.0001025519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001883842,"about_ca_topic_score_gemma":0.00001601304,"domain_scores_codex":[0.9989036,0.0000583266,0.0002221208,0.0004045692,0.0001340038,0.0002773838],"domain_scores_gemma":[0.999308,0.000006782254,0.00008180814,0.0004533801,0.0001109937,0.00003903512],"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":[0.0001572552,0.0001835164,0.002642874,0.00006358104,0.0000201476,0.000002465488,0.00002991332,0.002998715,0.9935175,0.00005919665,0.0001094054,0.0002154617],"study_design_scores_gemma":[0.0004826855,0.0002889743,0.001960516,0.00002009734,0.00001345997,0.00000391471,0.0001362433,0.0002569236,0.9939607,0.00004846754,0.002663687,0.0001643205],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985198,0.0002169601,0.0002065162,0.0002516347,0.00003273893,0.0004757341,0.000003048983,0.00001659258,0.0002769181],"genre_scores_gemma":[0.9975185,0.00001971894,0.0005066373,0.00006643507,0.0000838216,0.00008016964,0.00007464003,0.00002478436,0.001625234],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002741792,"threshold_uncertainty_score":0.4574176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009484046583267926,"score_gpt":0.2156399551063714,"score_spread":0.2061559085231035,"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."}}