{"id":"W4321253242","doi":"10.3390/plants12040908","title":"Genetic and Metabolite Variability among Commercial Varieties and Advanced Lines of Vicia faba L.","year":2023,"lang":"en","type":"article","venue":"Plants","topic":"Genetic and Environmental Crop Studies","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"European Regional Development Fund; European Commission","keywords":"Vicia faba; Genetic diversity; Cultivar; Biology; UPGMA; Dendrogram; Genetic variability; Palmitic acid; Metabolite; Metabolomics; Canola; Stearic acid; Genetic variation; Botany; Horticulture; Fatty acid; Food science; Genotype; Chemistry; Genetics; Biochemistry; Gene; Bioinformatics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00009038144,0.00007074043,0.0001361245,0.000004759892,0.00009789337,0.000008558645,0.0000443555,0.00003162606,0.00002049562],"category_scores_gemma":[0.00002032375,0.00002837087,0.00001468459,0.0000609737,0.0001525058,0.00002364184,0.0001136752,0.00002826531,0.000003524708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001617328,"about_ca_system_score_gemma":6.399519e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001673173,"about_ca_topic_score_gemma":0.0001823073,"domain_scores_codex":[0.9995339,0.0000296203,0.0001043367,0.0001392737,0.00007520032,0.0001176929],"domain_scores_gemma":[0.9997885,0.0001155967,0.00003109346,0.00002341146,0.000006011744,0.00003543144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001570563,0.000015138,0.8982437,0.00001109915,0.00001153942,8.789248e-7,0.0002171177,0.000005204951,0.03738639,0.00001191791,0.00003853254,0.06404279],"study_design_scores_gemma":[0.00006701209,0.00004554771,0.9971583,0.000004056875,0.000009889982,0.000001067364,0.0003660746,0.00003665328,0.0009258718,0.0005693376,0.0007535921,0.00006259764],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999047,0.0004705409,0.000001251093,0.0001039965,0.00004534897,0.00007468872,0.00008118898,0.00001694276,0.0001589752],"genre_scores_gemma":[0.9983988,0.00137521,0.000089407,0.0000245188,0.00003348799,0.000005586988,0.00001382829,4.266164e-7,0.00005874628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09891462,"threshold_uncertainty_score":0.1156931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01345752917956439,"score_gpt":0.1955520248424367,"score_spread":0.1820944956628723,"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."}}