{"id":"W1569224326","doi":"10.1111/j.1420-9101.2004.00864.x","title":"Contemporary gene flow and the spatio‐temporal genetic structure of subdivided newt populations (<i>Triturus cristatus</i>,<i>T. marmoratus</i>)","year":2005,"lang":"en","type":"article","venue":"Journal of Evolutionary Biology","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":81,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of General Medical Sciences; Natural Environment Research Council; Natural Sciences and Engineering Research Council of Canada; U.S. Department of Health and Human Services; National Institutes of Health; Canadian Institutes of Health Research; Austrian Science Fund","keywords":"Biology; Gene flow; Metapopulation; Triturus; Population; Evolutionary biology; Parapatric speciation; Genetic structure; Ecology; Zoology; Genetic variation; Demography; Gene; Genetics; Biological dispersal","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014555,0.0001718131,0.0003221428,0.0001073193,0.000144334,0.00001285768,0.0002412475,0.0002365911,0.00005899171],"category_scores_gemma":[0.00011692,0.0001242021,0.0001631322,0.000119863,0.0004072877,0.00001554636,0.0001100603,0.0001891188,9.67884e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001731736,"about_ca_system_score_gemma":0.000191973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000698549,"about_ca_topic_score_gemma":0.00004667855,"domain_scores_codex":[0.9985938,0.0002772427,0.0006073128,0.0001924516,0.0001574875,0.0001717116],"domain_scores_gemma":[0.9987062,0.00003887276,0.0005889177,0.0002295253,0.0003391124,0.00009742104],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004884588,0.000184317,0.6554937,0.00006262294,0.0006656969,0.00001699841,0.0005494497,0.01489293,0.2084302,0.002447902,0.1060052,0.006366377],"study_design_scores_gemma":[0.008577771,0.0009114687,0.7816876,0.00002804663,0.0002400956,0.001123695,0.0002141589,0.001149192,0.01114086,0.009978415,0.1844736,0.0004750646],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9776233,0.01497103,0.004362325,0.00191761,0.0004870337,0.0002002326,0.000334081,0.000004134844,0.000100229],"genre_scores_gemma":[0.9724926,0.0002851426,0.02576903,0.000414711,0.0006068422,9.342829e-7,0.0003291396,0.00001016845,0.0000914573],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1972894,"threshold_uncertainty_score":0.5064815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01518226476130511,"score_gpt":0.2431679460830016,"score_spread":0.2279856813216965,"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."}}