{"id":"W4388478063","doi":"10.20944/preprints202311.0355.v1","title":"Towards Sustainable Protein Sources: Thermal and Rheological Properties of Alternative Proteins","year":2023,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Proteins in Food Systems","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Pea protein; Soy protein; Rheology; Food science; Differential scanning calorimetry; Viscosity; Apparent viscosity; Extrusion; Plant protein; Chemistry; Materials science; Composite material; Thermodynamics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006354035,0.0004271678,0.0003420711,0.0005906752,0.0001715375,0.0007878574,0.0002028577,0.0004382101,0.0009636052],"category_scores_gemma":[0.0003495574,0.0001999917,0.0003048713,0.0009534313,0.0002124032,0.001065958,0.0003079139,0.0006387021,0.0007118186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002763051,"about_ca_system_score_gemma":0.000162739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003120524,"about_ca_topic_score_gemma":0.0005429162,"domain_scores_codex":[0.9997026,0.00004151073,0.00001563153,0.00006494049,0.0001448251,0.00003048949],"domain_scores_gemma":[0.9998233,0.0000292212,0.00004885106,0.00001825713,0.00006758094,0.00001288545],"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":[0.0001058135,0.00003142761,0.001594962,0.0004128437,0.00002507325,0.0000704163,0.0000632013,0.0006104865,0.9784396,0.0004153831,0.0001817047,0.01804908],"study_design_scores_gemma":[0.000007896051,0.0004327302,0.02120848,0.0001053553,0.00005482849,0.0003047333,0.0001964741,0.003844448,0.9514803,0.001440557,0.02089763,0.00002666588],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9163567,0.03067162,0.0455282,0.0007233456,0.00009833152,0.00005015371,0.001080482,0.0001840366,0.005307133],"genre_scores_gemma":[0.9508943,0.01347827,0.02881666,0.0001772013,0.00006016422,0.00007751238,0.001409286,0.0001698084,0.004916728],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009636052,"threshold_uncertainty_score":0.003360331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1879338906566903,"score_gpt":0.3009483696537754,"score_spread":0.1130144789970852,"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."}}