{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006957134,0.00009448387,0.0002158966,0.001204825,0.0001264142,0.00003037951,0.0002989763,0.00006809367,0.0003827257],"category_scores_gemma":[0.0001290078,0.00007671141,0.00009861929,0.0009407155,0.0003535096,0.0001167724,0.0004336626,0.0006691379,0.00007460398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002938562,"about_ca_system_score_gemma":0.0004324577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001228499,"about_ca_topic_score_gemma":0.00002053007,"domain_scores_codex":[0.9970915,0.0002460711,0.0002461312,0.000263873,0.001775615,0.0003768672],"domain_scores_gemma":[0.998012,0.0006836244,0.00004532309,0.0001742881,0.0009215336,0.0001632392],"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":[0.001989338,0.003937574,0.4358248,0.0004420457,0.001337065,0.0009095324,0.0007407226,0.0006176073,0.4907582,0.02463177,0.03498279,0.003828565],"study_design_scores_gemma":[0.002513793,0.001531017,0.9710217,0.0002974142,0.000006607105,0.00003217516,0.0009270376,0.01118836,0.007247092,0.001015446,0.004126326,0.00009300698],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9794622,0.00003261782,0.00003694699,0.003667714,0.000250077,0.0004755781,0.0002860564,0.00003055,0.01575825],"genre_scores_gemma":[0.998305,0.00006849555,0.0004523179,0.00003668135,0.0001929055,0.00007100771,0.0004965572,0.00001302088,0.0003639707],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5351969,"threshold_uncertainty_score":0.4190578,"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."}}