{"id":"W1967551683","doi":"10.1038/hdy.2011.31","title":"Demographic and genetic factors shaping contemporary metapopulation effective size and its empirical estimation in salmonid fish","year":2011,"lang":"en","type":"article","venue":"Heredity","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"Fisheries and Oceans Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Metapopulation; Biology; Effective population size; Habitat fragmentation; Population; Population size; Salmo; Population fragmentation; Ecology; Subdivision; Evolutionary biology; Genetic diversity; Estimation; Biodiversity; Occupancy; Gene flow; Genetic variation; Genetics; Fish <Actinopterygii>; Fishery; Demography; Geography; Biological dispersal; Gene","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":[0.002366393,0.0001337262,0.0001854047,0.0008930456,0.000365183,0.0005173928,0.000454115,0.0003558031,0.001024647],"category_scores_gemma":[0.01233376,0.0003408307,0.0002934039,0.000782546,0.001368645,0.0007178478,0.000432032,0.0004538325,0.0001023734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005079069,"about_ca_system_score_gemma":0.0003271648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004361856,"about_ca_topic_score_gemma":0.01298051,"domain_scores_codex":[0.9995209,0.0002500522,0.00004177906,0.0001169959,0.0000353848,0.00003480972],"domain_scores_gemma":[0.9913264,0.005945344,0.001253331,0.0006713239,0.0005277026,0.0002758688],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006043253,0.00001768199,0.992139,0.000009482863,0.00008602171,0.00003152411,0.0004586339,0.001350039,0.001277935,0.0003376041,0.00002550912,0.004206051],"study_design_scores_gemma":[0.000003463603,0.00002360453,0.9929392,0.000004754694,0.00003697791,0.0001047341,0.0003835636,0.005599923,0.0001882396,0.0006451422,0.00006158029,0.00000884166],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994148,0.00003699707,0.000413967,0.00001211406,5.737486e-7,7.200057e-7,0.00001508167,0.000001879241,0.0001039253],"genre_scores_gemma":[0.9997252,0.00001142646,0.0002054974,0.00000329087,9.596314e-7,0.000001249039,0.00002038695,0.0000015957,0.00003052963],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004361856,"threshold_uncertainty_score":0.01251483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0574256672951838,"score_gpt":0.2656503834760693,"score_spread":0.2082247161808855,"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."}}