{"id":"W4313593937","doi":"10.1016/j.foodres.2022.112455","title":"Comprehensive compositional assessment of bioactive compounds in diverse pea accessions","year":2023,"lang":"en","type":"article","venue":"Food Research International","topic":"Phytoestrogen effects and research","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of Saskatchewan; University of Guelph; Global Institute for Water Security; Saskatchewan Research Council (Canada)","funders":"National Research Council Canada","keywords":"Cotyledon; Isoflavones; Phytoestrogens; Biology; Legume; Coat; Food science; Sativum; Crop; Botany; Agronomy; Biochemistry; Estrogen","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002278851,0.0003096342,0.0003816274,0.001463677,0.0003376963,0.0004378333,0.000137495,0.0002573743,0.0004875291],"category_scores_gemma":[0.0003152526,0.0001486572,0.000267603,0.001188872,0.0001865382,0.0002270988,0.0003600126,0.0003347123,0.0001729658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001463912,"about_ca_system_score_gemma":0.0001033917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001147017,"about_ca_topic_score_gemma":0.002476421,"domain_scores_codex":[0.9997879,0.00002349286,0.00001787357,0.00009853299,0.00005163776,0.00002067819],"domain_scores_gemma":[0.9997675,0.00003950622,0.00005516839,0.00002882965,0.00007555258,0.00003349702],"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":[0.000157403,0.00002008936,0.02720537,0.00008874429,0.0001070303,0.000132959,0.0001633986,0.00006494313,0.9658494,0.0000285581,0.00005731796,0.006124808],"study_design_scores_gemma":[0.00001172095,0.0002877042,0.9220687,0.00001347084,0.0001701867,0.0009206973,0.0002609864,0.0005840093,0.07186604,0.0000930314,0.003699007,0.00002443583],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931304,0.001113609,0.002371862,0.00001435698,0.000006804486,0.00002200272,0.002753864,0.00005897506,0.0005281272],"genre_scores_gemma":[0.9844676,0.0006714857,0.005895704,0.00007134019,0.000009873987,0.0000554552,0.007739977,0.00005542273,0.001033275],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001463677,"threshold_uncertainty_score":0.002280712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2333319791260692,"score_gpt":0.5380849651863877,"score_spread":0.3047529860603185,"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."}}