{"id":"W2135238537","doi":"10.1111/mec.12003","title":"SNP‐array reveals genome‐wide patterns of geographical and potential adaptive divergence across the natural range of <scp>A</scp>tlantic salmon (<i><scp>S</scp>almo salar</i>)","year":2012,"lang":"en","type":"article","venue":"Molecular Ecology","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":231,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Biology; Salmo; Local adaptation; Evolutionary biology; Single-nucleotide polymorphism; Population; Allele frequency; Population genetics; Natural selection; Genetics; Allele; Fishery; Gene; Genotype","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003464239,0.0002718646,0.0003847154,0.00007160511,0.0001691234,0.00001636976,0.0004104027,0.00041122,0.00001438856],"category_scores_gemma":[0.0003501831,0.0002327448,0.000229463,0.0001604735,0.000360436,0.00001191079,0.0004088171,0.0002458757,0.000005102277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009196048,"about_ca_system_score_gemma":0.00003092483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006371662,"about_ca_topic_score_gemma":0.00005290421,"domain_scores_codex":[0.9980459,0.0003059397,0.0003817075,0.0004133561,0.000255552,0.0005975417],"domain_scores_gemma":[0.9987818,0.0001306473,0.0003170451,0.0004334822,0.0001853889,0.0001516336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000243389,0.00007282962,0.6849349,0.0000480034,0.0002176416,0.00001089534,0.0005914881,0.000126739,0.3135318,0.0001175928,0.0002572028,0.00006667003],"study_design_scores_gemma":[0.0006637648,0.0002986064,0.9322533,0.000009388707,0.0001372274,0.00007564849,0.00073276,0.00001248266,0.06323141,0.0001452826,0.002357603,0.00008250398],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931525,0.00264907,0.003027761,0.00005857697,0.0004578187,0.000356183,0.0001897018,0.000009090103,0.0000993209],"genre_scores_gemma":[0.9984358,0.0002498624,0.0004674821,0.0003875228,0.0001114526,0.00001172856,0.0001380986,0.00002296918,0.0001751073],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2503003,"threshold_uncertainty_score":0.9491059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007494372921127867,"score_gpt":0.2249490096639107,"score_spread":0.2174546367427828,"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."}}