{"id":"W6964893240","doi":"10.3389/fpls.2024.1490767.s010","title":"Image9_Genome-wide association mapping in exotic × Canadian elite crosses: mining beneficial alleles for agronomic and seed composition traits in soybean.jpg","year":2024,"lang":"en","type":"other","venue":"Figshare","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Germplasm; Genetic diversity; Allele; Gene pool; Association mapping; Genetic architecture; Population; Genetic variation","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":[0.0002529872,0.0003712249,0.0003088953,0.001407349,0.001073373,0.0005713906,0.0005243509,0.0002195613,0.004133116],"category_scores_gemma":[0.0002403166,0.0001723298,0.0004136681,0.001698716,0.0002318482,0.00007776744,0.0004937847,0.0003795012,0.0004392783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001862322,"about_ca_system_score_gemma":0.003417388,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7009625,"about_ca_topic_score_gemma":0.8819396,"domain_scores_codex":[0.9997882,0.000008575173,0.000007479106,0.00006682757,0.00008123097,0.000047568],"domain_scores_gemma":[0.9998618,0.00002202324,0.00002313366,0.00001231301,0.00003763144,0.00004299273],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001163427,0.0001753682,0.1752417,0.0003440626,0.0004127086,0.002010888,0.001708958,0.001470214,0.7048127,0.002043403,0.01595477,0.09466177],"study_design_scores_gemma":[0.0001028829,0.00005655724,0.9408001,0.00002472415,0.0002322379,0.000557284,0.0003809079,0.003190673,0.01555144,0.0001347585,0.03892856,0.00003990411],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9341636,0.0005116399,0.008949809,0.000365768,0.0000431475,0.0001389255,0.04213308,0.001008054,0.01268604],"genre_scores_gemma":[0.8919599,0.0006447713,0.03560602,0.0002569761,0.00001979955,0.0001204896,0.05362572,0.0004671182,0.01729919],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2990375,"threshold_uncertainty_score":0.6015971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02086691357397133,"score_gpt":0.2272320622059311,"score_spread":0.2063651486319597,"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."}}