{"id":"W4283725431","doi":"10.1073/pnas.2100036119","title":"An adaptive teosinte <i>mexicana</i> introgression modulates phosphatidylcholine levels and is associated with maize flowering time","year":2022,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Chemical, Bioengineering, Environmental, and Transport Systems; National Institute of General Medical Sciences; National Science Foundation; National Institutes of Health; Consejo Nacional de Ciencia y Tecnología; U.S. Department of Agriculture","keywords":"Introgression; Biology; Allele; Gene; Genetics; Quantitative trait locus; Domestication; Genetic variation; Botany","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":[0.00007871618,0.0002373158,0.0001685365,0.0003059898,0.000172031,0.0002594774,0.0001952137,0.0002404071,0.0009213133],"category_scores_gemma":[0.000118386,0.0001464909,0.0002062444,0.0002203009,0.0001580358,0.00009135251,0.000299002,0.0004939364,0.000122813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003230519,"about_ca_system_score_gemma":0.0001104098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001681411,"about_ca_topic_score_gemma":0.002223598,"domain_scores_codex":[0.9999075,0.00000970173,0.000005186874,0.00003991324,0.00001377272,0.00002384131],"domain_scores_gemma":[0.9998304,0.00001990907,0.0000870316,0.00001370439,0.00001114046,0.00003787205],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001021485,0.00001501365,0.002965477,0.000008981698,0.00000849506,0.00004413637,0.00002985317,0.00001620616,0.9961239,0.00002517692,0.00001523691,0.0006453217],"study_design_scores_gemma":[0.0000524243,0.0002125555,0.7952434,0.000009435874,0.00008226008,0.0006383189,0.0002262453,0.001459495,0.1993953,0.00008379105,0.002568684,0.00002802326],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994707,0.00005159431,0.0002049146,0.00001765017,0.000002530531,0.00000263299,0.0001095783,0.00001593093,0.0001244483],"genre_scores_gemma":[0.998696,0.00007987319,0.0002689819,0.00003553232,0.000003662478,0.000008438684,0.0003319855,0.0000194725,0.0005559314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001681411,"threshold_uncertainty_score":0.003343225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02224285521680891,"score_gpt":0.2560383721334439,"score_spread":0.233795516916635,"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."}}