{"id":"W1889769886","doi":"10.1111/j.1365-294x.2004.02149.x","title":"Population genetic structure of Arctic Charr, <i> Salvelinus alpinus</i> from northwest Europe on large and small spatial scales","year":2004,"lang":"en","type":"article","venue":"Molecular Ecology","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":139,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Environment; European Commission","keywords":"Salvelinus; Biology; Genetic structure; Gene flow; Ecology; Population; Spatial ecology; Arctic; Isolation by distance; Population genetics; Sympatric speciation; Genetic variation; Trout; Fishery; Demography; Genetics","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":[0.0005458036,0.0001400087,0.0002060654,0.0007419852,0.0003188143,0.0004648737,0.0001847433,0.0001625568,0.0003667479],"category_scores_gemma":[0.0005596131,0.00009943906,0.0001959587,0.0004911483,0.0003005101,0.0001693156,0.0002887174,0.0001406626,0.00009057496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003792258,"about_ca_system_score_gemma":0.0001953332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01469515,"about_ca_topic_score_gemma":0.02744522,"domain_scores_codex":[0.9997277,0.00007284105,0.00002488153,0.00009879069,0.00004550758,0.00003027587],"domain_scores_gemma":[0.9995597,0.0001031218,0.0001568479,0.00003121098,0.00007916425,0.0000700317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002196331,0.0000335279,0.9751545,0.0000200265,0.0001459873,0.0002183233,0.0008617155,0.0006780684,0.01477483,0.00007601002,0.00008662052,0.007730692],"study_design_scores_gemma":[0.000005169955,0.0000367873,0.9989391,0.00000378717,0.0000130964,0.00009473957,0.0001967503,0.0003888763,0.0001727967,0.00001393979,0.0001315192,0.000003572956],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999872,0.00001973206,0.00003673597,0.000002488867,2.660773e-7,4.258286e-7,0.00002288017,7.103383e-7,0.00004483634],"genre_scores_gemma":[0.9994,0.00003663077,0.0002120683,0.000004779615,0.000001430098,0.000002332524,0.0002577254,0.000001322804,0.00008373088],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01469515,"threshold_uncertainty_score":0.02921927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004390174717337041,"score_gpt":0.1933407707247141,"score_spread":0.1889505960073771,"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."}}