{"id":"W1936610770","doi":"10.1111/j.1745-4557.2011.00425.x","title":"OPTIMIZATION OF GLUTEN PEAK TESTER: A STATISTICAL APPROACH","year":2011,"lang":"en","type":"article","venue":"Journal of Food Quality","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Gluten; Wheat flour; Wheat gluten; Food science; Mathematics; Response surface methodology; Meal; Statistics; Chemistry","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":[0.02065889,0.001623277,0.002380575,0.002267783,0.0005146264,0.001351128,0.001887707,0.0009060256,0.00427512],"category_scores_gemma":[0.02644936,0.0007623459,0.002284266,0.001981316,0.0008025186,0.0007109193,0.001203727,0.001912096,0.0008922907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006693782,"about_ca_system_score_gemma":0.001378719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001115164,"about_ca_topic_score_gemma":0.0009977168,"domain_scores_codex":[0.9796557,0.01218853,0.001362395,0.002000409,0.00421921,0.0005737185],"domain_scores_gemma":[0.9842072,0.01174866,0.0009318928,0.001288081,0.001712825,0.0001113273],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.005846232,0.00251149,0.03559984,0.003201631,0.004168763,0.0004345224,0.001160365,0.07514846,0.1645086,0.01324039,0.005626483,0.6885532],"study_design_scores_gemma":[0.0004586298,0.01584612,0.05143173,0.0001578692,0.001261087,0.0003968096,0.000662033,0.767072,0.1339281,0.006453956,0.02203552,0.0002962094],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06452899,0.0001527078,0.9289691,0.00006960914,0.00006006506,0.001884014,0.001016668,0.002500336,0.0008184768],"genre_scores_gemma":[0.2233929,0.0001069828,0.7654159,0.00008569127,0.00002562805,0.007539725,0.001321111,0.0005906687,0.001521336],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02065889,"threshold_uncertainty_score":0.109256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1009876668116619,"score_gpt":0.2712464268564153,"score_spread":0.1702587600447534,"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."}}