{"id":"W4220654152","doi":"10.1111/mec.16339","title":"Long‐distance migration is a major factor driving local adaptation at continental scale in Coho salmon","year":2022,"lang":"en","type":"article","venue":"Molecular Ecology","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":30,"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; Background selection; Selection (genetic algorithm); Oncorhynchus; Population; 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":[0.0002626279,0.0001154619,0.0001582685,0.0003687346,0.0003479926,0.0002688466,0.0001501708,0.000183548,0.0007042402],"category_scores_gemma":[0.0004313997,0.0000893024,0.0001494238,0.0004352929,0.0003892278,0.000191777,0.0002599276,0.0002719036,0.0000809018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001635957,"about_ca_system_score_gemma":0.0002502178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004959531,"about_ca_topic_score_gemma":0.01089536,"domain_scores_codex":[0.9998857,0.00002094473,0.000009721876,0.00004361611,0.00001939924,0.00002051527],"domain_scores_gemma":[0.9996456,0.00007781906,0.0001506986,0.00002557156,0.00004980249,0.00005040372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000159805,0.00003391792,0.871326,0.00006139062,0.000122311,0.000159884,0.000474254,0.0004898841,0.1175088,0.0001439,0.00006687621,0.009453],"study_design_scores_gemma":[0.00000151674,0.00002762859,0.9988637,0.00000306468,0.00001518224,0.000044279,0.0001726196,0.0002177885,0.0005535546,0.00003885495,0.00005918646,0.000002585264],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995559,0.0000823609,0.0001983205,0.00001175567,0.000001210594,0.000001413116,0.00003063146,0.000002737844,0.0001156869],"genre_scores_gemma":[0.9996717,0.00004527215,0.0001521048,0.000009161292,0.000002744365,0.000002013876,0.00006271697,0.000001515549,0.00005282336],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004959531,"threshold_uncertainty_score":0.00986129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005492376002216554,"score_gpt":0.2082067710779839,"score_spread":0.2027143950757674,"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."}}