{"id":"W2486274365","doi":"10.3390/ma9080645","title":"Quaternized Cellulose Hydrogels as Sorbent Materials and Pickering Emulsion Stabilizing Agents","year":2016,"lang":"en","type":"article","venue":"Materials","topic":"Advanced Cellulose Research Studies","field":"Materials Science","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; University of Saskatchewan","funders":"Environment and Climate Change Canada; University of Saskatchewan","keywords":"Thermogravimetric analysis; Sorption; Self-healing hydrogels; Aqueous solution; Chemistry; Cellulose; Epichlorohydrin; Fourier transform infrared spectroscopy; Langmuir adsorption model; Nuclear chemistry; Thermal stability; Emulsion; Adsorption; Chemical engineering; Polymer chemistry; Organic chemistry","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":[0.0001999259,0.0003587394,0.0001635071,0.0001901602,0.00006979911,0.0001624978,0.0001592611,0.0001943756,0.001227181],"category_scores_gemma":[0.0001296018,0.0001235608,0.0001832753,0.0001270787,0.0001343827,0.0002091926,0.0001251493,0.0002792482,0.0002980531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003059031,"about_ca_system_score_gemma":0.0001433758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007131029,"about_ca_topic_score_gemma":0.001141079,"domain_scores_codex":[0.9999069,0.00001125622,0.000005982226,0.00001906605,0.00003459473,0.00002227322],"domain_scores_gemma":[0.9998926,0.0000195108,0.00002986276,0.00001231045,0.00001928166,0.00002639832],"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":[0.00002249416,0.000009543067,0.00004207773,0.00002655226,0.000002509189,0.00002510645,0.000006227014,0.0001020023,0.9980171,0.00007961605,0.00002348182,0.001643433],"study_design_scores_gemma":[0.000005423067,0.0001043206,0.0006300691,0.000002321795,0.000005720023,0.00005729411,0.00000412492,0.0005915947,0.9976324,0.00002022663,0.0009429439,0.000003613262],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9755848,0.003767308,0.0158306,0.0001467439,0.00006853446,0.00008096292,0.0003838245,0.0002376562,0.003899658],"genre_scores_gemma":[0.9874796,0.001276838,0.007806962,0.0000705888,0.00001878866,0.00002816066,0.0001729026,0.00002940767,0.003116629],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001227181,"threshold_uncertainty_score":0.00410527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03005469716828603,"score_gpt":0.3007540125865436,"score_spread":0.2706993154182575,"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."}}