{"id":"W2897202855","doi":"10.1139/cjps-2018-0140","title":"Nutrient content and viscosity of Saskatchewan-grown pulses in relation to their cooking quality","year":2018,"lang":"en","type":"article","venue":"Canadian Journal of Plant Science","topic":"Food composition and properties","field":"Nursing","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; University of Guelph; Agriculture and Agri-Food Canada","funders":"Saskatchewan Pulse Growers","keywords":"Cultivar; Starch; Food science; Viscosity; Gluten; Chemistry; Amylose; Viscometer; Nutrient; Protein quality; Agronomy; Materials science; Biology; Composite material","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000976174,0.00005156984,0.0001243985,0.0003138738,0.0001692642,0.0000530494,0.0001614455,0.00002100896,0.00001022013],"category_scores_gemma":[0.0001549416,0.0000401277,0.00001726766,0.0002686094,0.0003490559,0.0002320594,0.00001079551,0.0000898686,0.000001138312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001511489,"about_ca_system_score_gemma":0.0003874104,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01299773,"about_ca_topic_score_gemma":0.07568612,"domain_scores_codex":[0.9992379,0.0000598311,0.0002740934,0.00009152495,0.0001659691,0.0001706742],"domain_scores_gemma":[0.9992528,0.00004490561,0.0001382081,0.00007158759,0.0001996158,0.0002928655],"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":[0.001845372,0.0000682063,0.1951522,0.00006064065,0.00001606785,0.00004335338,0.1031181,0.0001476142,0.6780691,0.001078277,0.0005698828,0.0198312],"study_design_scores_gemma":[0.0005957709,0.00204516,0.6972742,0.0007838177,0.000008681117,0.0002075799,0.01057504,0.0004077693,0.2847624,0.0006385788,0.002509115,0.0001918649],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978199,0.0001235821,0.0001033258,0.001252691,0.0004104415,0.00006743608,0.00002946952,0.000001636346,0.0001914966],"genre_scores_gemma":[0.9994056,0.000001362406,0.0001790773,0.0003672555,0.00003696757,2.606448e-7,4.563177e-7,0.000001913194,0.000007108483],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.502122,"threshold_uncertainty_score":0.9935748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0572093749552802,"score_gpt":0.265974511697304,"score_spread":0.2087651367420238,"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."}}