{"id":"W2144190917","doi":"10.1111/mec.13044","title":"Quantitative trait locus mapping identifies candidate alleles involved in adaptive introgression and range expansion in a wild sunflower","year":2014,"lang":"en","type":"article","venue":"Molecular Ecology","topic":"Sunflower and Safflower Cultivation","field":"Agricultural and Biological Sciences","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Institute of General Medical Sciences; U.S. Department of Agriculture; National Institutes of Health; National Science Foundation","keywords":"Biology; Introgression; Quantitative trait locus; Allele; Locus (genetics); Genetics; Trait; Range (aeronautics); Sunflower; Evolutionary biology; Gene; Agronomy","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":[0.0004061782,0.0001585424,0.000272719,0.00007804695,0.00007637753,0.00003224201,0.0001221581,0.000162098,0.00006430611],"category_scores_gemma":[0.0001405701,0.00007853701,0.00004369237,0.0003190493,0.00009270156,0.00014452,0.00008023394,0.0001641552,0.000006479356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004122838,"about_ca_system_score_gemma":0.0000075559,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007931497,"about_ca_topic_score_gemma":0.0315514,"domain_scores_codex":[0.9985576,0.0003512998,0.0002799036,0.0003892293,0.000121064,0.0003009012],"domain_scores_gemma":[0.9995419,0.0002289022,0.00007697149,0.00005115907,0.00004482038,0.00005618816],"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":[0.0004139775,0.0002291697,0.2027141,0.00001633939,0.00002523354,0.0001150226,0.002740448,0.0001219245,0.760007,0.00123232,0.00009150824,0.03229289],"study_design_scores_gemma":[0.001017014,0.0004871239,0.9855848,0.00008796436,0.000006807333,0.000004614806,0.002493076,0.002812005,0.003639226,0.003245658,0.0003438381,0.0002778707],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981287,0.0002311797,0.0001799249,0.0009307812,0.000105074,0.0002794343,0.00000536757,0.00002599188,0.0001136119],"genre_scores_gemma":[0.999304,0.00003817276,0.0002527075,0.0002688226,0.00002433024,0.00005067026,0.00004441075,0.000002027762,0.00001487862],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7828707,"threshold_uncertainty_score":0.9861203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01669767661275399,"score_gpt":0.2290145156822972,"score_spread":0.2123168390695432,"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."}}