{"id":"W4410701351","doi":"10.1016/j.egg.2025.100368","title":"Graphic analysis of genetic variation in morphological traits of garden cress (Lepidium sativum L.)","year":2025,"lang":"en","type":"article","venue":"Ecological Genetics and Genomics","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Leibniz-Institut für Pflanzengenetik und Kulturpflanzenforschung; Agriculture and Agri-Food Canada","keywords":"Lepidium sativum; Variation (astronomy); Genetic variation; Biology; Botany; Evolutionary biology; Genetics; Gene; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003209274,0.0001358215,0.0004400832,0.0001041688,0.00005657039,0.0000196206,0.0002139445,0.0002145831,0.0001234926],"category_scores_gemma":[0.00005893312,0.00006522061,0.0001262611,0.0008413365,0.0001010457,0.000008732627,0.0001199387,0.0001010179,5.76538e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001356838,"about_ca_system_score_gemma":0.00001188941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000494237,"about_ca_topic_score_gemma":0.0007225774,"domain_scores_codex":[0.9987923,0.00009659748,0.0004633906,0.0003154298,0.0001098297,0.0002224894],"domain_scores_gemma":[0.9993204,0.0003306824,0.0001656272,0.00005577839,0.0000688913,0.00005859926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00006314981,0.0003076362,0.4399149,0.00002433636,0.0002465568,0.000007957634,0.000181686,0.005848136,0.5300164,0.0007271973,0.00006274895,0.02259932],"study_design_scores_gemma":[0.0001477022,0.0002719779,0.9898134,0.000007192313,0.0001759748,0.000001166185,0.00009644141,0.006692555,0.0009269299,0.001208647,0.0005433951,0.0001146349],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978476,0.0009111378,0.00007178311,0.0003117089,0.00005789325,0.0001822877,0.00007553437,0.000006453341,0.0005356646],"genre_scores_gemma":[0.9974349,0.001158773,0.001216421,0.00008838678,0.00002455712,0.000007178898,0.00002418697,6.603357e-7,0.00004489969],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5498985,"threshold_uncertainty_score":0.2659619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01632596645344327,"score_gpt":0.2071205215191419,"score_spread":0.1907945550656986,"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."}}