{"id":"W4417015484","doi":"10.5376/lgg.2025.16.0018","title":"Genetic Dissection of Isoflavone Content in Soybean Seeds","year":2025,"lang":"","type":"article","venue":"Legume Genomics and Genetics","topic":"Soybean genetics and cultivation","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quantitative trait locus; Gene; Genotype; Genistein; Genetic diversity; Phytoestrogens; Isoflavones; Genetic architecture; Phenomics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0002476398,0.0002970298,0.0004160011,0.00008730139,0.0001680534,0.0001019902,0.0002537924,0.0002876363,0.00007601572],"category_scores_gemma":[0.00002704779,0.0001853019,0.0001183049,0.0005432577,0.0002122045,0.00002609214,0.0001974439,0.0001829833,0.000004682368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006892006,"about_ca_system_score_gemma":0.00005049072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005770137,"about_ca_topic_score_gemma":0.001241306,"domain_scores_codex":[0.9979743,0.00009430421,0.0008201051,0.000538148,0.0001684748,0.0004046103],"domain_scores_gemma":[0.9992532,0.00009067645,0.0002352806,0.0001601389,0.0001515967,0.0001090879],"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":[0.00009829154,0.0003071789,0.2232146,0.0001090835,0.00007838097,0.000003207164,0.0006878671,0.0003177814,0.6063745,0.001213611,0.0001375055,0.167458],"study_design_scores_gemma":[0.0006558693,0.0004757636,0.9656239,0.0001123303,0.00007795226,0.000003984234,0.001607781,0.003798303,0.01922703,0.002914821,0.005161264,0.0003409916],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9851196,0.0119431,0.0001200074,0.0009255726,0.0005690172,0.0005064736,0.00005119247,0.000008957147,0.0007561056],"genre_scores_gemma":[0.9909615,0.006757763,0.0005197313,0.0002433157,0.0001794145,0.00001185743,0.00002131982,0.000004340756,0.001300738],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7424093,"threshold_uncertainty_score":0.7556391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02049298368095533,"score_gpt":0.2196291649950251,"score_spread":0.1991361813140697,"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."}}