{"id":"W4294775237","doi":"10.1016/j.carbpol.2022.120080","title":"Changes to fine structure, size and mechanical modulus of phytoglycogen nanoparticles subjected to high-shear extrusion","year":2022,"lang":"en","type":"article","venue":"Carbohydrate Polymers","topic":"Food composition and properties","field":"Nursing","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mirexus (Canada); University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Extrusion; Amylopectin; Materials science; Nanoparticle; Composite material; Shear (geology); Chemistry; Nanotechnology; Amylose; Starch; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009050622,0.0001700417,0.0002575094,0.0001543724,0.0002262281,0.00002708902,0.000167246,0.0000429008,0.0004278991],"category_scores_gemma":[0.00004705699,0.0001639964,0.00003770628,0.0005319371,0.00004219172,0.0000449875,0.000254885,0.0001207626,0.000004644682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006018617,"about_ca_system_score_gemma":0.00001655983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004633595,"about_ca_topic_score_gemma":0.0001499127,"domain_scores_codex":[0.9987013,0.0001707205,0.0002098381,0.0003251775,0.0002844488,0.0003085577],"domain_scores_gemma":[0.9993878,0.00005288959,0.00005785289,0.0002532506,0.00004239311,0.0002058248],"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":[0.001760627,0.00003225692,0.00002006515,0.00001817082,0.00002136025,0.000005475355,0.001265794,0.0002421399,0.9833201,0.00008453787,0.0001834111,0.01304603],"study_design_scores_gemma":[0.0005004734,0.002060903,0.0007256014,0.00001975643,0.00003584727,0.000009638751,0.000314651,0.0003920327,0.9941344,0.000207418,0.001379523,0.0002197702],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990624,0.000476139,0.000004674808,0.007337889,0.000969448,0.0003265582,0.0001255755,0.00008231909,0.00005336491],"genre_scores_gemma":[0.9971902,0.00000244607,0.0004025637,0.002153886,0.00007122435,0.00004593221,0.00001232541,0.00003406415,0.00008729399],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01282626,"threshold_uncertainty_score":0.6687582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01304266019016908,"score_gpt":0.2271674497055893,"score_spread":0.2141247895154202,"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."}}