{"id":"W7062105360","doi":"","title":"Structuring Plant-Based Foods Using Less Refined Plant Proteins and High Moisture Extrusion","year":2023,"lang":"en","type":"dissertation","venue":"The Atrium (University of Guelph)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ontario Agri-Food Innovation Alliance; Novo Nordisk; Novo Nordisk Fonden; Ministry of Agriculture, Food and Rural Affairs; Mitacs; Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Gelatin; Extrusion; Moisture; Plant protein; Texture (cosmology); Tenderness; Structuring","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001940038,0.0002945766,0.0001420089,0.0001436373,0.00009173494,0.0002581996,0.0001526926,0.0002944777,0.000951048],"category_scores_gemma":[0.0002556798,0.0001997543,0.0002331959,0.0001230255,0.00019072,0.0003527279,0.0002075561,0.0004539622,0.0002519058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001022043,"about_ca_system_score_gemma":0.00005236186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001669405,"about_ca_topic_score_gemma":0.0005341544,"domain_scores_codex":[0.9998887,0.00001443174,0.000008684759,0.00003225272,0.00003568661,0.00002026899],"domain_scores_gemma":[0.9998626,0.00004174077,0.00005199649,0.00001244315,0.00001851707,0.00001275835],"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":[0.00001552218,0.000005427823,0.00005826295,0.00004594225,0.000002310761,0.00002630278,0.00002096673,0.00005486928,0.9990693,0.00002795594,0.000007341407,0.0006659094],"study_design_scores_gemma":[0.000004661112,0.0001650403,0.002584641,0.0000119941,0.00001149677,0.00009981114,0.0000356358,0.0006522774,0.9951396,0.00002259296,0.001264896,0.000007360549],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920575,0.0008530886,0.005959529,0.00002890093,0.00001633326,0.00001706549,0.00004845592,0.0000573653,0.0009618545],"genre_scores_gemma":[0.9886042,0.0006515724,0.009100311,0.00005160091,0.000006512018,0.00003265279,0.00009505961,0.00003655878,0.001421495],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000951048,"threshold_uncertainty_score":0.003181577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02222031357746439,"score_gpt":0.2354956547147521,"score_spread":0.2132753411372877,"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."}}