{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002095148,0.0001286274,0.0002299752,0.000006328138,0.0001489951,0.00001448714,0.000706539,0.0001547462,0.0001780098],"category_scores_gemma":[0.0004502375,0.00003632708,0.0001133737,0.0004674896,0.0001060491,0.00003483485,0.0001599071,0.0002040585,0.000006506973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001474704,"about_ca_system_score_gemma":0.00004787008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000347176,"about_ca_topic_score_gemma":0.0003373631,"domain_scores_codex":[0.9987234,0.0002381122,0.0003034174,0.0002289767,0.0003207251,0.0001852929],"domain_scores_gemma":[0.9993553,0.0001033313,0.0001660874,0.0001245389,0.0001270391,0.0001237596],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001608374,0.00004785685,0.006652492,0.00002628373,0.00006324471,0.000001200193,0.0007098283,0.000170996,0.9681022,0.00198544,0.02132204,0.0007575357],"study_design_scores_gemma":[0.001452373,0.004934852,0.5038179,0.0002137547,0.0001180253,0.00003226723,0.00170895,0.000910248,0.4275145,0.00112276,0.05756792,0.0006065011],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9322747,0.00009154228,0.00000887112,0.06544356,0.0003778209,0.0007409899,0.0006006343,0.0000333801,0.0004285181],"genre_scores_gemma":[0.9968801,0.000001379108,0.00004684303,0.002068026,0.0004238204,0.00003773752,0.0000489446,0.000001466819,0.0004916647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5405878,"threshold_uncertainty_score":0.1949082,"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."}}