{"id":"W2789120898","doi":"10.1007/s00397-018-1072-1","title":"Nonlinear viscoelasticity of fat crystal networks","year":2018,"lang":"en","type":"article","venue":"Rheologica Acta","topic":"Food Chemistry and Fat Analysis","field":"Agricultural and Biological Sciences","cited_by":44,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Viscoelasticity; Rheology; Materials science; Brittleness; Composite material; Dissipation; Shear (geology); Nonlinear system; Microstructure; Thermodynamics; Physics","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":[0.0001281115,0.0001110938,0.00009526055,0.0005062058,0.0002637943,0.000427007,0.000240614,0.0002105186,0.002052399],"category_scores_gemma":[0.0008870084,0.0001443442,0.00009485256,0.0002692526,0.0004700967,0.0006510873,0.0002716893,0.0002440964,0.0001462366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000263864,"about_ca_system_score_gemma":0.000212153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001779392,"about_ca_topic_score_gemma":0.001545338,"domain_scores_codex":[0.9999464,0.000008735883,0.000001830962,0.00001527034,0.00001578404,0.00001206689],"domain_scores_gemma":[0.9996979,0.0001179359,0.00007327147,0.00002518887,0.00004799462,0.00003770386],"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":[0.0004300912,0.0002888444,0.01099404,0.0002442948,0.00007800377,0.0005025947,0.0008684671,0.3024046,0.5664444,0.08508755,0.001481093,0.03117602],"study_design_scores_gemma":[0.00001749677,0.00006839929,0.007594882,0.00001310966,0.00001291167,0.00007392384,0.0001413727,0.9339007,0.04288511,0.01394557,0.001325226,0.00002127298],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9836854,0.000137994,0.01096675,0.0001061081,0.00001098192,0.000008510516,0.00006919968,0.00002216565,0.004992855],"genre_scores_gemma":[0.9974832,0.00007895874,0.0008324627,0.00001100173,0.000003651844,0.000007564285,0.00004265663,0.000005967998,0.00153451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002052399,"threshold_uncertainty_score":0.006865978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01306954643699314,"score_gpt":0.2112219299672964,"score_spread":0.1981523835303033,"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."}}