{"id":"W4406334231","doi":"10.3390/plants14020201","title":"Depicting Soybean Diversity via Complementary Application of Three Marker Types","year":2025,"lang":"en","type":"article","venue":"Plants","topic":"Soybean genetics and cultivation","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biology; Genetic diversity; Trait; Quantitative trait locus; Analysis of molecular variance; Biotechnology; Genotype; Discriminative model; Genetic variation; Evolutionary biology; Genetics; Machine learning; Genetic structure; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007430614,0.0003370596,0.0004329229,0.002600589,0.0002775196,0.000659415,0.0001803483,0.0002564601,0.0005077675],"category_scores_gemma":[0.0009359992,0.000152897,0.0004013649,0.001751642,0.0002446253,0.0001852925,0.0005075088,0.0003097588,0.0001567119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002238817,"about_ca_system_score_gemma":0.0002897981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002116438,"about_ca_topic_score_gemma":0.004723211,"domain_scores_codex":[0.9994115,0.0001070521,0.00005659365,0.0002420325,0.0001279739,0.00005490745],"domain_scores_gemma":[0.9993499,0.0001745746,0.0002195331,0.00008497912,0.0001040345,0.00006704225],"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":[0.00127695,0.00009934349,0.2551019,0.0002079068,0.0004191533,0.0001679187,0.001076567,0.001210448,0.6772882,0.0002202724,0.00007176369,0.0628597],"study_design_scores_gemma":[0.00002415203,0.0003566076,0.9660612,0.00002560329,0.000263725,0.0003778676,0.0004229361,0.002239519,0.02879344,0.0002384386,0.001158776,0.00003778476],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955925,0.0002654057,0.002931783,0.000007105762,0.000003513054,0.00001798628,0.0005554493,0.00002497448,0.0006011103],"genre_scores_gemma":[0.9882563,0.0001737599,0.009857843,0.00001029408,0.000004410354,0.00002940745,0.001370945,0.00001272671,0.000284384],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002600589,"threshold_uncertainty_score":0.004208267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0251344709741044,"score_gpt":0.2240475268197616,"score_spread":0.1989130558456572,"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."}}