{"id":"W2884203875","doi":"10.1038/s41598-018-29395-6","title":"Landscape limits gene flow and drives population structure in Agassiz’s desert tortoise (Gopherus agassizii)","year":2018,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Turtle Biology and Conservation","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Ontario Museum; University of Toronto","funders":"University of California, Los Angeles; U.S. Geological Survey; U.S. Fish and Wildlife Service; Massachusetts Department of Fish and Game; California Department of Fish and Game","keywords":"Tortoise; Ecology; Population; Threatened species; Biology; Population genomics; Keystone species; Geography; Conservation genetics; Genomics; Habitat; Genetics; Microsatellite; Genome","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":[],"consensus_categories":[],"category_scores_codex":[0.0003888205,0.0001097108,0.000108951,0.00005501358,0.0002568176,0.00008343719,0.00008263483,0.0001138348,0.0008095944],"category_scores_gemma":[0.00008105676,0.00009189824,0.00002186732,0.0003073307,0.0002477019,0.0002879556,0.0000741358,0.00007401997,0.00003118912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005056539,"about_ca_system_score_gemma":0.0000170133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001205735,"about_ca_topic_score_gemma":0.00231516,"domain_scores_codex":[0.9986776,0.00004897168,0.0002629831,0.0005728829,0.0002191275,0.0002184063],"domain_scores_gemma":[0.9994074,0.00001348942,0.000137531,0.0003496785,0.00001658714,0.00007535874],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001083604,0.0000159663,0.9103029,0.000002058723,0.000002445168,0.00004632467,0.0002449065,0.00008039053,0.07754623,0.00001333616,0.002122842,0.00961177],"study_design_scores_gemma":[0.0000973859,0.00002733955,0.975574,0.000009589675,0.000005315515,0.00008237435,0.0000210079,0.00125915,0.01108756,0.007694345,0.004015128,0.0001268792],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961327,0.00005870737,0.00003394326,0.0001391528,0.002148507,0.0001523189,0.000001718449,0.0000313682,0.001301596],"genre_scores_gemma":[0.9969984,0.000003518781,0.001628841,0.00008243196,0.00007412981,0.000006094834,0.00005483838,0.000006589461,0.001145159],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06645867,"threshold_uncertainty_score":0.8864491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007324649912253459,"score_gpt":0.2124150065829521,"score_spread":0.2050903566706986,"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."}}