{"id":"W4224114773","doi":"10.1021/acs.biomac.2c00046","title":"Transition in the Glassy Dynamics of Melts of Acid-Hydrolyzed Phytoglycogen Nanoparticles","year":2022,"lang":"en","type":"article","venue":"Biomacromolecules","topic":"Material Dynamics and Properties","field":"Materials Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Hydrolysis; Rheology; Glass transition; Colloid; Chemistry; Chemical engineering; Nanoparticle; Aqueous solution; Acid hydrolysis; Shear rate; Viscosity; Fragility; Materials science; Nanotechnology; Organic chemistry; Polymer; Composite material; Physical 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":[0.0005316296,0.00009184076,0.0001792173,0.00006306065,0.00008774763,0.00002094965,0.00035003,0.00002530466,0.0002168679],"category_scores_gemma":[0.00001302711,0.00006742158,0.00005596742,0.0002111388,0.0001204109,0.0000501388,0.00008280714,0.00003600421,0.000003379682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002698334,"about_ca_system_score_gemma":0.00003059251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003864072,"about_ca_topic_score_gemma":0.0001767616,"domain_scores_codex":[0.998812,0.0002713323,0.00032062,0.0001519977,0.0002813133,0.0001627791],"domain_scores_gemma":[0.9995926,0.00002165827,0.0001296358,0.0002114807,0.00002846717,0.00001617933],"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":[0.0001670607,0.0001147226,0.00005110704,0.00005154499,0.00000496369,0.00001082342,0.001548333,0.0001692467,0.9945202,0.002945369,0.000009988568,0.0004065896],"study_design_scores_gemma":[0.0003440066,0.0001942217,0.0005944468,0.000013503,0.00001267232,0.00001684455,0.0006753046,0.004152693,0.9921073,0.001719333,0.00007783534,0.00009184272],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984044,0.0002173359,0.0001042393,0.0004000909,0.0001524348,0.0001728478,0.0003397722,0.00001365725,0.0001952368],"genre_scores_gemma":[0.9995815,0.000009231705,0.0002516742,0.00005660446,0.00001008252,0.0000408167,0.00003372621,0.000009675499,0.000006715938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003983446,"threshold_uncertainty_score":0.2749372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009564411840162651,"score_gpt":0.2125737422543618,"score_spread":0.2030093304141992,"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."}}