{"id":"W4395688616","doi":"10.1007/13836_2024_109","title":"Population Genomics of Soybean","year":2024,"lang":"en","type":"book-chapter","venue":"Population genomics","topic":"Soybean genetics and cultivation","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Genomics; Population genomics; Biology; Computational biology; Genetics; Genome; Gene","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001876331,0.0002492154,0.0001977403,0.0003528197,0.0002208,0.0005804141,0.0003315741,0.0002696902,0.003530217],"category_scores_gemma":[0.0001657011,0.0001326393,0.0002146369,0.0003923949,0.0003291536,0.0003944592,0.0003860945,0.0008418022,0.001137231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006800574,"about_ca_system_score_gemma":0.0002628301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001401578,"about_ca_topic_score_gemma":0.001858345,"domain_scores_codex":[0.9999415,0.00001103368,0.000001458191,0.0000189893,0.00002134344,0.000005729164],"domain_scores_gemma":[0.999967,0.00001630192,0.000002364628,0.000003577045,0.000005307283,0.000005401481],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00005771499,0.00006111366,0.0006276329,0.0003013334,0.00001897222,0.0001956897,0.0003499348,0.004847412,0.1166682,0.2821606,0.02586514,0.5688463],"study_design_scores_gemma":[0.00001148982,0.00008685532,0.006316001,0.0001212223,0.00001693922,0.0007234245,0.0001358877,0.004787289,0.0248808,0.1735484,0.7893508,0.0000208632],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05587885,0.08317257,0.2244799,0.006265469,0.000925872,0.00007692247,0.001147198,0.0008159653,0.6272372],"genre_scores_gemma":[0.2935755,0.08974127,0.07869583,0.003026287,0.0008112591,0.0001780989,0.003646793,0.0005284071,0.5297965],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003530217,"threshold_uncertainty_score":0.01180971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02804510084224627,"score_gpt":0.2194038550636645,"score_spread":0.1913587542214182,"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."}}