{"id":"W1915580952","doi":"10.1139/cjfas-2013-0240","title":"Landscape structure and climatic variation determine Atlantic salmon genetic connectivity in the Northwest Atlantic","year":2013,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bedford Institute of Oceanography; Fisheries and Oceans Canada","funders":"Fisheries and Oceans Canada","keywords":"Biological dispersal; Geography; Ecology; Genetic structure; Salmo; Endangered species; Local adaptation; Spatial ecology; Habitat; Isolation by distance; Genetic variation; Biology; Fishery; Population; Fish <Actinopterygii>","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.0003257515,0.0001063497,0.0001925392,0.0006646167,0.0003362013,0.0005072431,0.0002060671,0.0001635196,0.0005836174],"category_scores_gemma":[0.001015848,0.0001553302,0.0001981415,0.0006891835,0.0005697794,0.0002252928,0.0003583808,0.0001733773,0.00008378269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006834655,"about_ca_system_score_gemma":0.0005141067,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1540785,"about_ca_topic_score_gemma":0.34804,"domain_scores_codex":[0.999793,0.0000471581,0.00001923896,0.0000589234,0.00003434668,0.00004745848],"domain_scores_gemma":[0.9992357,0.0001791046,0.0003192078,0.0000393762,0.0001169424,0.0001096167],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003484682,0.000006741745,0.9958531,0.000003833634,0.00004324837,0.00002659489,0.0001729535,0.0001969798,0.002076835,0.00002275875,0.00002893336,0.001533161],"study_design_scores_gemma":[8.27641e-7,0.000004577409,0.999714,9.878038e-7,0.000004767252,0.00001086852,0.00006676171,0.0001556604,0.00001780427,0.000006791339,0.00001611417,9.467347e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998201,0.00001930847,0.00003294394,0.000006224975,2.400847e-7,5.0633e-7,0.00003844131,0.000001022757,0.00008126308],"genre_scores_gemma":[0.9997868,0.00001795225,0.0000556886,0.000003108977,6.855271e-7,9.628424e-7,0.00009520308,0.000001077861,0.00003854241],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8459215,"threshold_uncertainty_score":0.3063634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0103823701552539,"score_gpt":0.1987522059662488,"score_spread":0.1883698358109949,"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."}}