{"id":"W4408402786","doi":"10.1016/j.foodres.2025.116154","title":"Investigation of polyphenol diversity among lentil species (Lens spp.) using mass spectrometry-based metabolomics guided by photodiode array detection","year":2025,"lang":"en","type":"article","venue":"Food Research International","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Food Inspection Agency; University of Saskatchewan","funders":"Alberta Diabetes Foundation; Natural Sciences and Engineering Research Council of Canada; Saskatchewan Pulse Growers; Western Grains Research Foundation","keywords":"Metabolomics; Mass spectrometry; Polyphenol; Photodiode; Chemistry; Chromatography; Botany; Biology; Biochemistry; Materials science; Optoelectronics","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":[0.0002107936,0.0003896219,0.0003238629,0.001755857,0.0002812618,0.0004946669,0.0001838272,0.0002055528,0.0004410042],"category_scores_gemma":[0.0002103914,0.0001286235,0.0002594299,0.0009858673,0.0001728176,0.0002655954,0.0002744442,0.0001610079,0.0001069344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002627809,"about_ca_system_score_gemma":0.0001433704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00312488,"about_ca_topic_score_gemma":0.00545337,"domain_scores_codex":[0.9998179,0.00001569172,0.00001407139,0.00008456179,0.00004296743,0.00002473653],"domain_scores_gemma":[0.9998621,0.00002232275,0.00004779165,0.000006877303,0.00004237034,0.00001863194],"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":[0.0001787802,0.00005589493,0.04411596,0.0000946068,0.00007865635,0.00008717873,0.0001867696,0.00008340568,0.9464228,0.00003219052,0.00002788319,0.008635898],"study_design_scores_gemma":[0.00001315972,0.0004093825,0.8876066,0.0000129371,0.0001420893,0.0005469216,0.000300726,0.001587706,0.1081073,0.00006973663,0.001177444,0.00002594817],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977584,0.0003913721,0.0007951583,0.000008951761,0.00000186305,0.00002044394,0.0006432284,0.00002801009,0.0003525303],"genre_scores_gemma":[0.993072,0.0002909871,0.00475312,0.00003958101,0.000004106863,0.0000436671,0.001235002,0.00001110688,0.0005504576],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00312488,"threshold_uncertainty_score":0.006213427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06763126444551615,"score_gpt":0.3146173399775571,"score_spread":0.246986075532041,"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."}}