{"id":"W2985405054","doi":"10.1101/829622","title":"Multiple chromosomal inversions contribute to adaptive divergence of a dune sunflower ecotype","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council; Killam Trusts","keywords":"Biology; Ecotype; Local adaptation; Gene flow; Linkage disequilibrium; Evolutionary biology; Population; Genetics; Population genetics; Genetic variation; Allele; Haplotype; Gene","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000344234,0.0002261459,0.0002020379,0.001084064,0.0003273698,0.0002929902,0.0002229929,0.0002946522,0.001696857],"category_scores_gemma":[0.0005076278,0.000111082,0.0002293374,0.0003790332,0.0003701517,0.0001508678,0.0003992285,0.0004891717,0.00008994697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002925603,"about_ca_system_score_gemma":0.0001208622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001645906,"about_ca_topic_score_gemma":0.002432178,"domain_scores_codex":[0.9998733,0.00001842602,0.000008478778,0.00004609852,0.00002850421,0.00002521564],"domain_scores_gemma":[0.999569,0.0001730252,0.0001117121,0.0000380306,0.00003281946,0.00007534915],"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":[0.0005503331,0.00009821967,0.1747617,0.00004931702,0.00009892745,0.001071786,0.0003473964,0.0005128391,0.8066313,0.0008154288,0.0000867309,0.01497614],"study_design_scores_gemma":[0.00004031156,0.0001486374,0.9576485,0.00001031892,0.00005660356,0.001673242,0.0001983047,0.002095177,0.03641335,0.0005929646,0.001104705,0.00001783711],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988256,0.00005020796,0.0007442136,0.0000165474,0.000002409961,0.000003679725,0.00004653403,0.00001165517,0.000299202],"genre_scores_gemma":[0.9991424,0.00003066975,0.0004892623,0.00001209967,0.000005113698,0.000002671852,0.00009011797,0.000005253886,0.0002224177],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001696857,"threshold_uncertainty_score":0.005676568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01208286099626921,"score_gpt":0.2090346564935741,"score_spread":0.1969517954973049,"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."}}