{"id":"W3169765764","doi":"10.1016/j.foodchem.2021.130395","title":"Co-extruded wheat/okra composite blends result in soft, cohesive and resilient crumbs rich in health-promoting compounds","year":2021,"lang":"en","type":"article","venue":"Food Chemistry","topic":"Food composition and properties","field":"Nursing","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Food science; Extrusion; Wheat flour; Ferulic acid; Chemistry; Composite number; Polysaccharide; Quercetin; Materials science; Composite material; Organic chemistry; Antioxidant","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003153817,0.0002540721,0.0004395428,0.00006335726,0.0002157624,0.0001271971,0.0001749416,0.0001690678,0.00007970436],"category_scores_gemma":[0.00006788165,0.0002941313,0.00005447,0.000327248,0.0001151883,0.0001012367,0.00008807402,0.0005460565,0.00001217719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002457378,"about_ca_system_score_gemma":0.0001238301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001814882,"about_ca_topic_score_gemma":0.0002757844,"domain_scores_codex":[0.9978369,0.0001800532,0.0006083314,0.0005714306,0.0002865467,0.0005167298],"domain_scores_gemma":[0.9991024,0.0001196883,0.0001611373,0.0003516506,0.00009270227,0.0001724449],"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":[0.00128792,0.0003591928,0.00668468,0.001267399,0.00003647309,0.00009711139,0.008209298,0.0001030242,0.9751284,0.0000075992,0.001929339,0.004889607],"study_design_scores_gemma":[0.002642438,0.0005714428,0.003149269,0.001167435,0.00001075555,0.0001824405,0.001846388,0.0009569962,0.9844018,0.0002921443,0.004359223,0.0004197153],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9798824,0.004819789,0.000002763117,0.007830432,0.0001493151,0.0001698266,0.0000410988,0.00009393482,0.00701045],"genre_scores_gemma":[0.9982749,0.00005664412,0.0004039436,0.0007295082,0.00008705038,0.00001686094,0.0001609918,0.00003358913,0.0002364752],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01839255,"threshold_uncertainty_score":0.9999511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01749271717601685,"score_gpt":0.2658149525427286,"score_spread":0.2483222353667118,"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."}}