{"id":"W3216953890","doi":"10.1101/2021.11.22.469546","title":"Long distance migration is a major factor driving local adaptation at continental scale in Coho Salmon","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; Fisheries and Oceans Canada; Université Laval","funders":"Genome British Columbia; Government of Canada; Compute Canada; Genome Canada","keywords":"Local adaptation; Biology; Adaptation (eye); Evolutionary biology; Selection (genetic algorithm); Population; Background selection; Ecology; Genetics; Gene; Recombination; Demography","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":[0.0002590624,0.0001128334,0.0001632659,0.000314133,0.0003187058,0.0002812234,0.0001121777,0.0001952345,0.0009589965],"category_scores_gemma":[0.000442805,0.00008935556,0.0001516168,0.0004275031,0.0003187757,0.0001520781,0.000236362,0.0002856772,0.0001185723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001460098,"about_ca_system_score_gemma":0.0002670043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004828319,"about_ca_topic_score_gemma":0.007679427,"domain_scores_codex":[0.9998853,0.00001701805,0.000007938757,0.00004815709,0.00002025665,0.00002128553],"domain_scores_gemma":[0.9997467,0.0000598466,0.00009486792,0.00002445251,0.00003606791,0.00003799886],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001819742,0.00003349874,0.8045516,0.00007937992,0.0001150848,0.0002294828,0.0005655498,0.000628335,0.177021,0.0002440386,0.0001873877,0.01616263],"study_design_scores_gemma":[0.000002301587,0.00002804183,0.9978948,0.0000041137,0.00001937206,0.00005938029,0.0002109107,0.0003575224,0.001196584,0.00008237307,0.0001413135,0.000003320724],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990664,0.0001253947,0.0004517784,0.00002626365,0.000002485155,0.000001989656,0.00007353372,0.000007509615,0.000244576],"genre_scores_gemma":[0.9992684,0.00007819088,0.0003259343,0.00001686852,0.000005885079,0.000003122652,0.0001537127,0.000004454483,0.0001434444],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004828319,"threshold_uncertainty_score":0.009600461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008480048717971044,"score_gpt":0.2036749332469995,"score_spread":0.1951948845290285,"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."}}