{"id":"W2128664359","doi":"10.1534/genetics.110.119982","title":"Floral Genetic Architecture: An Examination of QTL Architecture Underlying Floral (Co)Variation Across Environments","year":2010,"lang":"en","type":"article","venue":"Genetics","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Science Foundation","keywords":"Quantitative trait locus; Biology; Epistasis; Genetic architecture; Quantitative genetics; Family-based QTL mapping; Inbred strain; Genetics; Genetic variation; Gene; Gene mapping; Chromosome","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002094464,0.0002054203,0.000159339,0.00005307795,0.0001393981,0.00004359573,0.0002911563,0.0002537759,0.00003711053],"category_scores_gemma":[0.00002930553,0.0002065564,0.00007928464,0.00006444089,0.0001350097,0.000003942032,0.0001114085,0.0001816131,0.000008964079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007739689,"about_ca_system_score_gemma":0.00004453598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001650031,"about_ca_topic_score_gemma":0.0001153922,"domain_scores_codex":[0.9987198,0.00008346131,0.0002502826,0.0004000587,0.0002172012,0.0003292102],"domain_scores_gemma":[0.9992516,0.00001066139,0.0001397412,0.000430359,0.00003751829,0.000130101],"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":[0.00003109073,0.00008757745,0.004187681,0.00002072227,0.0000327496,0.000001663922,0.000887403,0.003691387,0.9424348,0.00001138386,0.00007417304,0.04853937],"study_design_scores_gemma":[0.001312241,0.001028973,0.7543126,0.00001576892,0.00006900249,0.00006491595,0.0004120451,0.001083045,0.2084832,0.0005093933,0.0320707,0.0006380992],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9773713,0.0001147868,0.02150369,0.00003504856,0.0003191442,0.0001717391,0.0001350702,0.00001210242,0.0003371455],"genre_scores_gemma":[0.9841771,0.00006006172,0.01461276,0.00008806968,0.0002899035,0.000005403345,0.0003579461,0.00002151545,0.0003872852],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.750125,"threshold_uncertainty_score":0.8423125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02009255056959563,"score_gpt":0.2667870134193794,"score_spread":0.2466944628497837,"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."}}