{"id":"W4214886713","doi":"10.1101/2022.03.02.482376","title":"Large haploblocks underlie rapid adaptation in an invasive weed","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Australian Research Council; Svenska Forskningsrådet Formas; Universitetet i Oslo; Carl Tryggers Stiftelse för Vetenskaplig Forskning; Norges Forskningsråd; Norwegian Sequencing Centre; NERC Environmental Bioinformatics Centre","keywords":"Ambrosia artemisiifolia; Adaptation (eye); Biology; Local adaptation; Evolutionary biology; Diversification (marketing strategy); Invasive species; Weed; Leverage (statistics); Ecology; Ragweed; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003155223,0.0002092138,0.0002525397,0.0009534,0.0003778846,0.000483992,0.0002026497,0.0003094026,0.002089666],"category_scores_gemma":[0.000702579,0.0001386401,0.0001914671,0.0008732271,0.0005098614,0.0002685901,0.0005641376,0.0003821587,0.0002540188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002084553,"about_ca_system_score_gemma":0.000106456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001186038,"about_ca_topic_score_gemma":0.003438187,"domain_scores_codex":[0.9998239,0.00001685224,0.00001085151,0.00008503717,0.00003699965,0.00002643023],"domain_scores_gemma":[0.9993908,0.0001594474,0.0002685731,0.00006530809,0.00003623573,0.00007963568],"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":[0.0006684318,0.00008626358,0.402707,0.0001109728,0.0002566078,0.001306798,0.001095231,0.001171209,0.5698387,0.001535853,0.000534541,0.0206883],"study_design_scores_gemma":[0.00002070119,0.00007371407,0.9857528,0.00001556917,0.00005943837,0.001057809,0.0002980288,0.001754296,0.007921923,0.00112978,0.00188684,0.00002918045],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974783,0.0001330513,0.001469417,0.00003229344,0.000004694089,0.00000410695,0.0003790174,0.00003874585,0.0004604153],"genre_scores_gemma":[0.9989253,0.00004673231,0.0005129499,0.00002178363,0.000005588687,0.000003024362,0.0002879466,0.00001445698,0.0001822196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002089666,"threshold_uncertainty_score":0.006990671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02051292426069145,"score_gpt":0.2280155764795695,"score_spread":0.207502652218878,"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."}}