{"id":"W2142194555","doi":"10.1139/f10-031","title":"Taking stock: defining populations of American shad (Alosa sapidissima) in Canada using neutral genetic markers","year":2010,"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":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bedford Institute of Oceanography; Dalhousie University","funders":"Fisheries and Oceans Canada; Natural Sciences and Engineering Research Council of Canada; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Metapopulation; Alosa; Genetic structure; Fishery; Geography; Biology; Genetic diversity; Population; Bay; Ecology; Isolation by distance; Fish migration; Fish <Actinopterygii>; Biological dispersal; Demography","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":[0.0004037037,0.0002295238,0.0002116584,0.001003721,0.001916267,0.0006666979,0.0006432288,0.0001917623,0.0006967255],"category_scores_gemma":[0.0008805656,0.0001401562,0.0001678173,0.001358023,0.000810282,0.0003442442,0.0004425208,0.0003129418,0.00008760569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007017555,"about_ca_system_score_gemma":0.006179241,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9644727,"about_ca_topic_score_gemma":0.9898268,"domain_scores_codex":[0.9998021,0.00001204758,0.000007581147,0.0000599985,0.00007190384,0.00004644215],"domain_scores_gemma":[0.9995819,0.0000383752,0.00007355041,0.00001560399,0.0001843423,0.0001063004],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001616889,0.00005567,0.9403965,0.00005279151,0.00004034439,0.0001272044,0.003541704,0.0007602457,0.01104768,0.0005232589,0.0003858328,0.04290693],"study_design_scores_gemma":[0.000007883969,0.00003658718,0.9957007,0.00001119114,0.00001824309,0.00006305266,0.001671623,0.001210793,0.0003980421,0.000155459,0.0007146721,0.00001177888],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990651,0.00007151961,0.0002168338,0.00002379164,0.000001011009,0.00001128949,0.000118821,0.000003909915,0.0004878412],"genre_scores_gemma":[0.9968946,0.00009134966,0.002074523,0.00003533446,0.000001239268,0.000009865952,0.0003440545,0.000003821621,0.000545267],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03552735,"threshold_uncertainty_score":0.07147312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02515991936084617,"score_gpt":0.2438352150739059,"score_spread":0.2186752957130597,"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."}}