{"id":"W2919002337","doi":"10.2135/cropsci2019.01.0004","title":"Evaluation of X‐Ray Fluorescence Spectroscopy as a Tool for Nutrient Analysis of Pea Seeds","year":2019,"lang":"en","type":"article","venue":"Crop Science","topic":"X-ray Spectroscopy and Fluorescence Analysis","field":"Physics and Astronomy","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Global Institute for Water Security; Canadian Light Source (Canada); University of Saskatchewan","funders":"National Research Council Canada; Western Economic Diversification Canada; Canadian Institutes of Health Research; Western Grains Research Foundation; Natural Sciences and Engineering Research Council of Canada; Ministry of Agriculture - Saskatchewan; University of Saskatchewan; Canadian Light Source","keywords":"X-ray fluorescence; Sativum; Analytical Chemistry (journal); Calibration curve; Graphite furnace atomic absorption; Atomic absorption spectroscopy; Calibration; Spectroscopy; Detection limit; Materials science; Chemistry; Fluorescence; Biology; Chromatography; Botany; Mathematics; Physics","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":[0.001033558,0.0003438654,0.0003105613,0.0005876382,0.000301826,0.0004444268,0.0003793341,0.0006033559,0.0002957929],"category_scores_gemma":[0.001797297,0.0002140161,0.000222147,0.0002714236,0.0003187584,0.0002709425,0.0002235879,0.0002058556,0.0001819937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004140543,"about_ca_system_score_gemma":0.0002630406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002856583,"about_ca_topic_score_gemma":0.005402086,"domain_scores_codex":[0.9991744,0.0002081626,0.00003446638,0.0001893732,0.0003616905,0.00003181854],"domain_scores_gemma":[0.9993005,0.0002386116,0.00007389511,0.0000771175,0.0002786741,0.000031343],"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":[0.00009986781,0.00001849648,0.006458604,0.0000460689,0.00001474703,0.00006872263,0.00006898035,0.0003414048,0.9818703,0.00003525901,0.00003054933,0.01094712],"study_design_scores_gemma":[0.00001137631,0.0005219115,0.04171095,0.00001794058,0.00002942142,0.0005829753,0.0001140819,0.009704972,0.9458376,0.00006720001,0.001379685,0.00002196008],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9642797,0.001266127,0.0331644,0.0000742078,0.00002022595,0.00004399301,0.000164313,0.0001794082,0.000807751],"genre_scores_gemma":[0.9685204,0.0003538253,0.03036244,0.00002982449,0.000003500354,0.00001755443,0.00009300392,0.00002038113,0.0005990699],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002856583,"threshold_uncertainty_score":0.005679965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01366260690516596,"score_gpt":0.3132295259644444,"score_spread":0.2995669190592784,"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."}}