{"id":"W3044469149","doi":"10.3390/foods9081002","title":"High Temperature Rotational Rheology of the Seed Flour to Predict the Texture of Canned Red Kidney Beans (Phaseolus vulgaris)","year":2020,"lang":"en","type":"article","venue":"Foods","topic":"Proteins in Food Systems","field":"Agricultural and Biological Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Phaseolus; Texture (cosmology); Rheology; Food science; Chemistry; Botany; Materials science; Horticulture; Biology; Composite material; Computer science; Artificial intelligence","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":[0.000173914,0.0001879466,0.0001971638,0.0003375098,0.00008465066,0.0002574385,0.00008113188,0.0001234011,0.0004219591],"category_scores_gemma":[0.000197601,0.0001136019,0.0001953514,0.0001864208,0.00008778633,0.0001207926,0.00007613616,0.0002538791,0.0001877374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001156976,"about_ca_system_score_gemma":0.00006963556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001872057,"about_ca_topic_score_gemma":0.00289711,"domain_scores_codex":[0.999943,0.000006318862,0.000003514368,0.00002248965,0.00001541635,0.000009351961],"domain_scores_gemma":[0.9998918,0.00001853823,0.00002879009,0.000009056553,0.00003361543,0.00001816615],"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":[0.0001112139,0.00001359076,0.006181622,0.00002391036,0.00001092214,0.00003385066,0.00003737259,0.0002209189,0.9915043,0.00001388565,0.00001982087,0.0018287],"study_design_scores_gemma":[0.00001121152,0.0006134573,0.5467128,0.00001131906,0.00009387847,0.0004325967,0.0001893514,0.01233074,0.438596,0.00004746444,0.000928759,0.00003239758],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963168,0.0001985578,0.003031736,0.000006730434,0.000003716647,0.000006438132,0.00015651,0.00003818225,0.0002413687],"genre_scores_gemma":[0.9980167,0.00008063614,0.001350286,0.000006825345,0.000001486205,0.000004337841,0.0002229924,0.00001674055,0.0002999947],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001872057,"threshold_uncertainty_score":0.00372231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01345766364905345,"score_gpt":0.2037341614057344,"score_spread":0.190276497756681,"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."}}