{"id":"W2025691821","doi":"10.1111/eva.12181","title":"Does source population size affect performance in new environments?","year":2014,"lang":"en","type":"review","venue":"Evolutionary Applications","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Population size; Small population size; Population; Local adaptation; Adaptation (eye); Ecology; Habitat; Effective population size; Life history theory; Affect (linguistics); Evolutionary biology; Genetic variation; Demography; Life history; 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":[0.001230039,0.0008718088,0.001788022,0.001835263,0.0001746799,0.0009547003,0.001300935,0.001244281,0.001701432],"category_scores_gemma":[0.002312177,0.0003021199,0.0005875831,0.002062192,0.0006997518,0.001254469,0.0005643013,0.0007085878,0.0005816233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005468136,"about_ca_system_score_gemma":0.001051745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002544814,"about_ca_topic_score_gemma":0.003490406,"domain_scores_codex":[0.999728,0.0000716955,0.00004671825,0.00007583698,0.00005959858,0.00001812675],"domain_scores_gemma":[0.9988592,0.000755798,0.0001867166,0.00002702242,0.0001283744,0.00004296678],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001367881,0.00005758361,0.002765796,0.03605133,0.0005151486,0.0001155694,0.0001563651,0.0006239478,0.001460251,0.002050476,0.004610344,0.9514564],"study_design_scores_gemma":[0.00009667157,0.001061353,0.07340383,0.03713104,0.003443934,0.003179239,0.0008309758,0.0007266975,0.003117068,0.00967413,0.8671538,0.0001812264],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0005165013,0.9989401,0.00008139467,0.0001346868,0.0000328102,0.000002425382,0.00001828024,0.000003157339,0.0002706707],"genre_scores_gemma":[0.003602821,0.9958864,0.0001760841,0.00009923726,0.00005013794,0.000006779625,0.00002494454,0.000001589603,0.0001520522],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002544814,"threshold_uncertainty_score":0.006505191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02980719603251173,"score_gpt":0.2411798511824445,"score_spread":0.2113726551499328,"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."}}