{"id":"W3156633134","doi":"10.1016/j.foodhyd.2021.106828","title":"Comparison of morphology and rheology of starch nanoparticles prepared from pulse and cereal starches by rapid antisolvent nanoprecipitation","year":2021,"lang":"en","type":"article","venue":"Food Hydrocolloids","topic":"Food composition and properties","field":"Nursing","cited_by":52,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Rheology; Starch; Rheometry; Viscoelasticity; Materials science; Dynamic light scattering; Shear rate; Viscosity; Chemical engineering; Chemistry; Nanoparticle; Composite material; Nanotechnology; Biochemistry","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":[0.0001205285,0.000138861,0.000443421,0.00007399706,0.00008395064,0.00001902002,0.00008307804,0.0001099276,0.00009864036],"category_scores_gemma":[0.00004998759,0.0001392564,0.00004265851,0.000133782,0.0002993947,0.00009824404,0.0001027586,0.0001002598,0.000001129376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000200033,"about_ca_system_score_gemma":0.00003242938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002389438,"about_ca_topic_score_gemma":0.0001810295,"domain_scores_codex":[0.998557,0.0003153612,0.0004522581,0.000306313,0.0001642053,0.0002048226],"domain_scores_gemma":[0.9992602,0.0002087627,0.000159131,0.0001916558,0.0001056421,0.00007458416],"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":[0.002427373,0.0003102792,0.02327794,0.0001017729,0.0001028111,0.000001487097,0.006644248,0.00002199993,0.95855,0.0001173521,0.0002551303,0.008189605],"study_design_scores_gemma":[0.001423801,0.007509858,0.01485538,0.00006236267,0.00006489737,0.00001052503,0.001371266,0.001843687,0.9717438,0.0005772539,0.0003956719,0.0001415461],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927377,0.005893724,0.00003962584,0.0005597551,0.0001579713,0.0002742494,0.0001742203,0.00002573457,0.0001370423],"genre_scores_gemma":[0.9983804,0.00006564484,0.001280098,0.00006365735,0.00001684977,0.00002737289,0.0001100316,0.00001551561,0.00004039098],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01319375,"threshold_uncertainty_score":0.567871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02890264720954535,"score_gpt":0.2922702963963745,"score_spread":0.2633676491868291,"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."}}