{"id":"W2920076534","doi":"10.1002/evl3.106","title":"Parallel genetic evolution and speciation from standing variation","year":2019,"lang":"en","type":"article","venue":"Evolution Letters","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":117,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Killam Trusts; University of California, Davis; University of British Columbia; Genome British Columbia; Canada Foundation for Innovation","keywords":"Genetic algorithm; Variation (astronomy); Evolutionary biology; Genetic variation; Parallel evolution; Biology; Genetics; Physics; Phylogenetic tree; Astrophysics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001255144,0.0001473557,0.0001126282,0.00007563887,0.00009200854,0.00003362583,0.00008875936,0.0001339631,0.00007303516],"category_scores_gemma":[0.00003544042,0.0001654434,0.00005251446,0.0001002434,0.00004322695,0.00001335983,0.00005749185,0.00007951301,0.00009531681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001580254,"about_ca_system_score_gemma":0.00003870188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000130971,"about_ca_topic_score_gemma":0.00005993674,"domain_scores_codex":[0.9988841,0.00008115541,0.0002213529,0.0004076331,0.000189229,0.0002164813],"domain_scores_gemma":[0.9994798,0.0000124711,0.0001200986,0.0002695703,0.0000494729,0.00006859085],"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":[0.0001068714,0.0000370148,0.1911384,0.00001429968,0.00006704406,8.491238e-7,0.0001173835,0.05550015,0.7473072,0.002476102,0.002885242,0.0003493587],"study_design_scores_gemma":[0.0009672195,0.00008813588,0.9387301,0.00001247555,0.00002509575,0.00000619399,0.00006169483,0.05688463,0.0001709611,0.0008601236,0.001934435,0.0002589319],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5821821,0.0003639565,0.4163898,0.000378794,0.0002871754,0.0001611041,0.00001738978,0.00001932678,0.0002003433],"genre_scores_gemma":[0.9921181,0.00006292538,0.006358836,0.0004583626,0.0003806246,0.00001039633,0.0002211963,0.00001945446,0.0003701342],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7475917,"threshold_uncertainty_score":0.6746585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003388227321209583,"score_gpt":0.1936217915524656,"score_spread":0.190233564231256,"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."}}