{"id":"W4409841450","doi":"10.1016/j.jgeb.2025.100491","title":"Genetic diversity and population structure analysis in Asparagus officinalis","year":2025,"lang":"en","type":"article","venue":"Journal of Genetic Engineering and Biotechnology","topic":"Phytochemical Studies and Bioactivities","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vineland Research and Innovation Centre; University of Guelph","funders":"Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Genetic diversity; Biology; Asparagus; Population; Germplasm; Genetic variation; Analysis of molecular variance; Domestication; Genetic structure; Botany; Genetics; Demography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0007655593,0.0002526746,0.0002565366,0.002033479,0.0004068741,0.0003879742,0.0002028678,0.0001822298,0.0005112155],"category_scores_gemma":[0.0004682564,0.0001021398,0.0004571967,0.001060351,0.0002323899,0.0001183152,0.0002136841,0.0002700347,0.0001666955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004009125,"about_ca_system_score_gemma":0.0002101895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003396075,"about_ca_topic_score_gemma":0.004540309,"domain_scores_codex":[0.9996655,0.00006999157,0.00003224816,0.0001340361,0.00006731075,0.00003085934],"domain_scores_gemma":[0.9996132,0.00009639679,0.000113034,0.00004875815,0.00007852288,0.00004997538],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001045711,0.0003250724,0.4944448,0.0001276069,0.0005478119,0.0006155621,0.001882077,0.003498324,0.444139,0.0006078111,0.0001712384,0.05259496],"study_design_scores_gemma":[0.00002424191,0.0002514713,0.989683,0.0000105441,0.00008535888,0.0003674898,0.0001825308,0.003250135,0.005130599,0.0001886341,0.0008084688,0.00001752517],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986456,0.00007710621,0.0008028999,0.000006736798,0.000001166208,0.00001061883,0.0001929021,0.00001127442,0.0002516306],"genre_scores_gemma":[0.9964905,0.00007485194,0.002089315,0.000006614394,0.000002475565,0.00001717326,0.001070278,0.000005177754,0.000243488],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003396075,"threshold_uncertainty_score":0.00675261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002989394434737479,"score_gpt":0.1926725943809322,"score_spread":0.1896831999461947,"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."}}