{"id":"W2953052017","doi":"10.1111/mec.14965","title":"Chromosomal fusion and life history‐associated genomic variation contribute to within‐river local adaptation of Atlantic salmon","year":2018,"lang":"en","type":"article","venue":"Molecular Ecology","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":91,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Cooke Aquaculture (Canada); University of New Brunswick","funders":"Natural Resources Canada; Fisheries and Oceans Canada; Norges Miljø- og Biovitenskapelige Universitet","keywords":"Biology; Local adaptation; Population; Evolutionary biology; Gene flow; Adaptation (eye); Genetics; Genetic variation; Structural variation; Gene; Genome","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":[0.0004183265,0.0001457148,0.000230647,0.0008855454,0.0002852331,0.0003583583,0.0002288553,0.0002802398,0.001618611],"category_scores_gemma":[0.0007149391,0.0001523404,0.0003757001,0.0006210885,0.000395407,0.0002088632,0.0005081861,0.0004155051,0.0001348515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001632158,"about_ca_system_score_gemma":0.0001248083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002159916,"about_ca_topic_score_gemma":0.002717307,"domain_scores_codex":[0.9997236,0.00005697295,0.00002629936,0.00009350378,0.00004546457,0.00005411434],"domain_scores_gemma":[0.9993292,0.0002279284,0.0002307907,0.00006124257,0.0000636633,0.00008722572],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004712752,0.00005708657,0.7222259,0.00003448072,0.0003169452,0.0002524682,0.0004295917,0.0006397971,0.2683142,0.00018876,0.0000888169,0.006980593],"study_design_scores_gemma":[0.000002974343,0.00004171179,0.9979904,0.000002171915,0.00002455189,0.00008417925,0.00008832736,0.0005704355,0.001071545,0.00005357187,0.00006578169,0.000004431184],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994057,0.00003643059,0.0003384213,0.000007549505,0.000001000097,0.000001782076,0.00006141993,0.000005461267,0.0001422968],"genre_scores_gemma":[0.9997134,0.000009451351,0.0001219951,0.000007110515,0.000001353019,0.000002017961,0.00006893749,0.000003343764,0.00007245397],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002159916,"threshold_uncertainty_score":0.005414844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007841596445289496,"score_gpt":0.1966056508503196,"score_spread":0.1887640544050301,"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."}}