{"id":"W4404484915","doi":"10.1002/cche.10831","title":"The impact of mechanical scouring and moisture conditioning on the in vitro protein digestibility and quality of roller‑milled green lentil (<i>Lens culinaris</i>) and yellow pea (<i>Pisum sativum</i>)","year":2024,"lang":"en","type":"article","venue":"Cereal Chemistry","topic":"Proteins in Food Systems","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; University of Manitoba","funders":"Agriculture and Agri-Food Canada; Natural Sciences and Engineering Research Council of Canada; Alberta Pulse Growers Commission; Saskatchewan Pulse Growers","keywords":"Pisum; Sativum; Chemistry; Moisture; Protein digestibility; Conditioning; Food science; Pea protein; Lens (geology); Botany; Agronomy; Biochemistry; Biology; Mathematics","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":[0.001002491,0.0001544907,0.0002685036,0.000004896537,0.0001602423,0.0000635795,0.0001511711,0.0001300442,0.00001082522],"category_scores_gemma":[0.0002144339,0.00005063264,0.000079765,0.0001238304,0.0002884129,0.00005767663,0.0001382144,0.0002884257,2.290352e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004420495,"about_ca_system_score_gemma":0.00001948186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002505495,"about_ca_topic_score_gemma":0.0002833173,"domain_scores_codex":[0.9988008,0.0001555672,0.0003469564,0.0003168079,0.0001992114,0.000180674],"domain_scores_gemma":[0.9990885,0.0005672327,0.0001338025,0.0001152268,0.00003987696,0.00005540281],"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":[0.0001637157,0.00003391521,0.004106731,0.0001909984,0.00003270218,0.000001745109,0.0001373015,0.000001646876,0.9938516,0.00009533748,0.00001507849,0.001369227],"study_design_scores_gemma":[0.0003958711,0.000215316,0.1229102,0.0004608142,0.00001730306,0.00001499239,0.0009110233,0.0003615836,0.8718454,0.002588132,0.00005605535,0.0002233414],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975455,0.0007403354,7.787046e-7,0.0006293275,0.00001288931,0.0003869981,0.0001048063,0.00001937759,0.0005599356],"genre_scores_gemma":[0.9997424,0.00005322154,0.000007054462,0.000005946963,0.00007303609,0.00002894667,0.00001073404,0.000001715794,0.00007687194],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1220063,"threshold_uncertainty_score":0.3787576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03068267807963971,"score_gpt":0.2703335728488751,"score_spread":0.2396508947692354,"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."}}