{"id":"W3152795746","doi":"10.1063/5.0046291","title":"Cationic and anionic cellulose nanocrystalline (CNC) hydrogels: A rheological study","year":2021,"lang":"en","type":"article","venue":"Physics of Fluids","topic":"Advanced Cellulose Research Studies","field":"Materials Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Rheology; Flocculation; Cationic polymerization; Shearing (physics); Cellulose; Nanocrystalline material; Self-healing hydrogels; Chemical engineering; Materials science; Composite material; Shear (geology); Polymer chemistry; Nanotechnology","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":[0.0003082825,0.0001905588,0.0001559315,0.0002413361,0.0001212317,0.0001289737,0.000119548,0.0001939994,0.0009585028],"category_scores_gemma":[0.0002400201,0.00006332188,0.0001356431,0.0002539045,0.0001261146,0.0002148875,0.0001034234,0.0003423161,0.0001131064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001580462,"about_ca_system_score_gemma":0.0001297046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001010007,"about_ca_topic_score_gemma":0.001133382,"domain_scores_codex":[0.9998866,0.00001137679,0.000011525,0.00002268028,0.00004408246,0.00002364491],"domain_scores_gemma":[0.999805,0.00005945891,0.00004094747,0.000009101552,0.00005039469,0.00003501134],"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":[0.00006168086,0.00002161457,0.0001861037,0.00004936432,0.000002955905,0.00003295213,0.00002579752,0.00009524354,0.9980555,0.00003235647,0.00001896625,0.001417581],"study_design_scores_gemma":[0.000005802071,0.0002349968,0.005164391,0.000007393243,0.00001143629,0.00007739401,0.00003441844,0.001253595,0.9923716,0.0000173005,0.0008126413,0.00000905554],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954097,0.001461829,0.001429899,0.00003924765,0.00001978452,0.00002732454,0.0001982147,0.00001509425,0.001398852],"genre_scores_gemma":[0.9956962,0.0008682623,0.002164358,0.00002881344,0.00001238114,0.00001877614,0.0001320228,0.000008001171,0.001071279],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001010007,"threshold_uncertainty_score":0.003206491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0317270784894858,"score_gpt":0.3013893129566863,"score_spread":0.2696622344672005,"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."}}