{"id":"W4384564678","doi":"10.1016/j.foodchem.2023.136922","title":"B vitamin quantification in lentil seed tissues using ultra-performance liquid chromatography-selected reaction monitoring mass spectrometry","year":2023,"lang":"en","type":"article","venue":"Food Chemistry","topic":"Genetic and Environmental Crop Studies","field":"Agricultural and Biological Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"Government of Saskatchewan; Genome Prairie; Western Grains Research Foundation; University of Saskatchewan; Genome Canada","keywords":"Vitamin; Biology; Food science; Legume; B vitamins; Genotype; Genetic variability; Agronomy; Biochemistry; Gene","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":[0.0000720361,0.0001146788,0.0001112388,0.00001526709,0.0001343492,0.00002092805,0.0001001716,0.00007897671,0.00001956215],"category_scores_gemma":[0.00001033782,0.00006332074,0.00003447136,0.0008095839,0.00003778962,0.00006306823,0.00002217893,0.00009246854,0.00002105544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004947176,"about_ca_system_score_gemma":0.000002331103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004353358,"about_ca_topic_score_gemma":0.000006484591,"domain_scores_codex":[0.9991969,0.00001042485,0.000159038,0.0002403368,0.0001514851,0.0002418269],"domain_scores_gemma":[0.9998202,0.00002062969,0.00005990855,0.0000514788,0.00001295965,0.00003479482],"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":[0.00001426475,0.00002414224,0.06489779,0.00002491039,0.000009556155,8.705921e-7,0.0000344891,0.00001750324,0.934497,1.016706e-7,0.00000755366,0.0004717948],"study_design_scores_gemma":[0.00004380388,0.00006185826,0.3861355,0.00002472644,0.000004147421,0.000002075031,0.0005347196,0.00003166086,0.6130219,0.000002853921,0.0000539768,0.00008271549],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992778,0.0001632197,0.000001486753,0.00004592184,0.00007477906,0.00006224211,0.000009922705,0.00009544524,0.0002692396],"genre_scores_gemma":[0.9991792,0.0004064281,0.000082397,0.000001654941,0.0001450304,0.00001230683,0.00006672475,0.000001750902,0.0001044406],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3214751,"threshold_uncertainty_score":0.2582145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02353668744864644,"score_gpt":0.219099535239716,"score_spread":0.1955628477910695,"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."}}