{"id":"W2589080570","doi":"10.2135/cropsci2016.08.0682","title":"Iron Bioavailability in Field Pea Seeds: Correlations with Iron, Phytate, and Carotenoids","year":2017,"lang":"en","type":"article","venue":"Crop Science","topic":"Phytase and its Applications","field":"Agricultural and Biological Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Centers for Disease Control and Prevention; Ministry of Agriculture - Saskatchewan; University of Saskatchewan; Utah Agricultural Experiment Station","keywords":"Carotenoid; Field pea; Cotyledon; Biology; Zeaxanthin; Biofortification; Sativum; Lutein; Pisum; Population; Bioavailability; Botany; Horticulture; Food science; Chemistry; Micronutrient","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":[0.0002174204,0.00006736774,0.00007193171,0.00001111138,0.0009980473,0.0002005857,0.0003737755,0.00003054794,0.00005578996],"category_scores_gemma":[0.00008729778,0.00002533032,0.00001124299,0.0002445088,0.0007715872,0.0004061009,0.0001049455,0.00008164449,0.00002130366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001653814,"about_ca_system_score_gemma":0.00002130911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001083593,"about_ca_topic_score_gemma":0.002152174,"domain_scores_codex":[0.9992771,0.000009512381,0.00008884343,0.0003031834,0.0001301789,0.0001912242],"domain_scores_gemma":[0.9995981,0.00005131132,0.00005956266,0.000159114,0.00005050665,0.00008141058],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000268149,0.0001503086,0.5705929,0.000009419789,0.000001252867,0.000003231309,0.0005433591,0.00001797265,0.371462,0.001274507,0.000445467,0.05547279],"study_design_scores_gemma":[0.00006991645,0.0001254724,0.9932873,0.00001133336,0.000002308561,0.000002645668,0.000149638,0.0001754602,0.00333441,0.0003357095,0.002409973,0.00009580413],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923186,0.00004155338,0.000007088744,0.002393706,0.00003222083,0.0001484103,0.00001594009,0.00001631859,0.005026133],"genre_scores_gemma":[0.9994596,0.00002012317,0.0001001167,0.0001122734,0.00003939744,0.0000146354,0.00000336714,3.065097e-7,0.0002501319],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4226944,"threshold_uncertainty_score":0.7676274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01634082555891678,"score_gpt":0.2435415952693163,"score_spread":0.2272007697103996,"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."}}