{"id":"W2810604802","doi":"10.1016/j.carbpol.2018.07.001","title":"Effect of a functional polymer on the rheology and microstructure of sodium alginate","year":2018,"lang":"en","type":"article","venue":"Carbohydrate Polymers","topic":"Rheology and Fluid Dynamics Studies","field":"Chemical Engineering","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"National Natural Science Foundation of China; National Science Foundation","keywords":"Rheology; Viscoelasticity; Materials science; Softening point; Softening; Polymer; Copolymer; Microstructure; Self-healing hydrogels; Composite material; Chemical engineering; Polymer chemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001340075,0.0001560385,0.0002590843,0.00006909911,0.00007681479,0.000002232612,0.0001028911,0.0001242076,0.0001310581],"category_scores_gemma":[0.00007373965,0.0001007344,0.00006786084,0.0001292633,0.001025418,0.00001946986,0.00007253935,0.0001543911,0.000005947175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000953056,"about_ca_system_score_gemma":0.00001165437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003699726,"about_ca_topic_score_gemma":0.000002186942,"domain_scores_codex":[0.9993045,0.00006587683,0.0001754847,0.0001736967,0.00007944472,0.0002010533],"domain_scores_gemma":[0.9992818,0.0003802058,0.00007663174,0.0001878524,0.00003939148,0.00003412814],"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":[0.0002758476,0.000006750597,0.001174418,0.00003566144,0.0001559734,0.00000126974,0.0002319988,0.00001570658,0.9627158,0.03497808,0.00008148807,0.0003269866],"study_design_scores_gemma":[0.0005181226,0.0004102723,0.001490811,0.00002358902,0.00006729322,0.000008839933,0.00003328277,0.02044943,0.9767849,0.00008718594,0.00001272151,0.000113541],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944642,0.001441062,0.0007354608,0.0003745021,0.0003949581,0.00008703241,0.00001852108,0.00002078488,0.002463462],"genre_scores_gemma":[0.998333,0.00001783194,0.000009164677,0.0001252855,0.00007206008,0.000009173376,0.000004440836,0.00001391191,0.001415076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0348909,"threshold_uncertainty_score":0.4107832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005079229289099426,"score_gpt":0.2095179737509564,"score_spread":0.204438744461857,"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."}}