{"id":"W2747728849","doi":"10.1016/j.foodchem.2017.08.040","title":"Quantification of vicine and convicine in faba bean seeds using hydrophilic interaction liquid chromatography","year":2017,"lang":"en","type":"article","venue":"Food Chemistry","topic":"Genetic and Environmental Crop Studies","field":"Agricultural and Biological Sciences","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"Innovationsfonden; Western Grains Research Foundation; Kristi Yamaguchi and Always Dream Foundation","keywords":"Vicia faba; Hydrophilic interaction chromatography; Chemistry; Chromatography; High-performance liquid chromatography; Botany; Biology","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":[0.0002551922,0.000381989,0.0002421943,0.0003725422,0.0003255339,0.0004965282,0.0002561502,0.0004549825,0.0005895602],"category_scores_gemma":[0.0004632055,0.0002002251,0.0002321632,0.0001744272,0.0003579149,0.0003638148,0.0001823508,0.000559755,0.0002504935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000683111,"about_ca_system_score_gemma":0.0004299702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005449394,"about_ca_topic_score_gemma":0.007572785,"domain_scores_codex":[0.9997762,0.00003697665,0.000008682257,0.00008882479,0.00005416014,0.00003519948],"domain_scores_gemma":[0.9997522,0.00007001306,0.00005520913,0.00002027597,0.00004556111,0.00005674678],"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":[0.0001218359,0.000007012834,0.0001790676,0.00001243855,0.000007426338,0.00001191477,0.00001508429,0.00003211434,0.9986988,0.00003202537,0.0000103644,0.000871932],"study_design_scores_gemma":[0.00001091358,0.0002188885,0.006564977,0.000003255347,0.00002015967,0.0001189596,0.00003202765,0.001382353,0.9907679,0.00003665694,0.0008345122,0.00000941147],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9790248,0.002671197,0.01506335,0.000103155,0.0000294198,0.00003897063,0.0003986934,0.0003027821,0.002367555],"genre_scores_gemma":[0.9838678,0.0006788252,0.01108811,0.0001186778,0.00001198876,0.00002622895,0.0006608497,0.00006482151,0.003482772],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005449394,"threshold_uncertainty_score":0.01083535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03003472127200667,"score_gpt":0.237694086758434,"score_spread":0.2076593654864273,"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."}}