{"id":"W4223581648","doi":"10.3390/plants11070999","title":"Detection of QTLs for Plant Height Architecture Traits in Rice (Oryza sativa L.) by Association Mapping and the RSTEP-LRT Method","year":2022,"lang":"en","type":"article","venue":"Plants","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Nanjing Agricultural University; Institute of Genetics; National Natural Science Foundation of China","keywords":"Panicle; Quantitative trait locus; Oryza sativa; Allele; Biology; Genetics; Chromosome; Genetic architecture; Population; Horticulture; Gene; Medicine","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":[0.000549649,0.00007380644,0.0001306513,0.00003713747,0.0001415811,0.000008927062,0.00008702502,0.00005563153,0.000004580639],"category_scores_gemma":[0.00007008678,0.00005838782,0.00003869066,0.00004296565,0.0000138049,0.000001335532,0.00006113481,0.00008167597,1.848338e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001193406,"about_ca_system_score_gemma":0.00001326888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005953442,"about_ca_topic_score_gemma":0.00002966768,"domain_scores_codex":[0.999314,0.0001463979,0.0001302087,0.0001653691,0.0001098454,0.000134222],"domain_scores_gemma":[0.9996841,0.0001089255,0.0001168033,0.00005572718,0.00001360775,0.00002081641],"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":[0.0007100098,0.0000557846,0.002149394,0.00006138385,0.00008853144,9.589054e-7,0.001387321,0.0002140025,0.9819644,0.00002940167,0.005210743,0.008128065],"study_design_scores_gemma":[0.01598364,0.001224957,0.06513645,0.00009889688,0.0001636462,0.0002068607,0.008081949,0.003763724,0.3985921,0.00175929,0.5039967,0.0009917354],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904321,0.0008920525,0.006517373,0.0002819412,0.0001428011,0.0003108102,0.001058178,0.000005208652,0.0003594763],"genre_scores_gemma":[0.9986658,0.0001113513,0.0004771071,0.0001629942,0.00005621367,0.00002703973,0.0001479965,0.000004457752,0.0003471112],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5833723,"threshold_uncertainty_score":0.2380986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00936622251073728,"score_gpt":0.2163472826163498,"score_spread":0.2069810601056125,"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."}}