{"id":"W2134838200","doi":"10.1111/mec.13454","title":"Landscape genetics in a changing world: disentangling historical and contemporary influences and inferring change","year":2015,"lang":"en","type":"review","venue":"Molecular Ecology","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":304,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Genetic structure; Biology; Population; Conservation genetics; Population genetics; Gene flow; Evolutionary biology; Ecology; Genetic variation; Demography; Genetics; Sociology; Gene","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001905573,0.0002779148,0.0006734364,0.0006547277,0.00005451797,0.00002619749,0.0001395907,0.0003937521,0.000005530057],"category_scores_gemma":[0.00004345376,0.000276909,0.0000803588,0.0003438164,0.00005886027,0.000004494944,0.00040685,0.0001878878,0.000001857737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005200603,"about_ca_system_score_gemma":0.0001007991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001320584,"about_ca_topic_score_gemma":0.00009304451,"domain_scores_codex":[0.9987079,0.000162529,0.0002991891,0.0004637982,0.0000948598,0.0002717189],"domain_scores_gemma":[0.9994653,0.00001880369,0.0001619528,0.0001937699,0.00003488961,0.0001252787],"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":[0.00005891989,0.00008735607,0.2906028,0.00625008,0.000414063,0.0005851647,0.0009900109,0.00005059586,0.0001065043,0.0003546011,0.0007403268,0.6997595],"study_design_scores_gemma":[0.0003727063,0.00009775276,0.001409421,0.0002923327,0.0001183796,0.00005260037,0.00003774736,0.00002050943,0.000006062099,0.00005455956,0.9971997,0.0003382278],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.03870856,0.9603156,0.00001600625,0.00003680481,0.0002252726,0.0003952719,0.00001646491,0.000007981474,0.0002779621],"genre_scores_gemma":[0.05794733,0.9407126,0.0002743908,0.0002555841,0.0001996727,0.00006281098,0.0002349389,0.00003658872,0.0002760968],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9964594,"threshold_uncertainty_score":0.9999683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06966332066781498,"score_gpt":0.3129826892495525,"score_spread":0.2433193685817375,"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."}}