{"id":"W1993061503","doi":"10.1007/s10592-013-0526-3","title":"Inbreeding and strong population subdivision in an endangered salamander","year":2013,"lang":"en","type":"article","venue":"Conservation Genetics","topic":"Amphibian and Reptile Biology","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"Thompson Rivers University","funders":"Washington State University; Arizona State University; Massachusetts Department of Fish and Game","keywords":"Biology; Inbreeding; Tiger salamander; Population; Effective population size; Endangered species; Genetic diversity; Ecology; Gene flow; Population fragmentation; Small population size; Conservation genetics; Genetic variation; Zoology; Allele; Microsatellite; Habitat; Genetics; Demography","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":[0.00007399348,0.00005633418,0.00005605164,0.00002627341,0.00004256767,0.00002286982,0.00004573824,0.00006384364,0.0004519743],"category_scores_gemma":[0.00001237195,0.00005175463,0.00000693508,0.00007020005,0.00005953298,0.0001459484,0.0000522154,0.00003929153,0.00004152659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003667438,"about_ca_system_score_gemma":0.000002292068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003450233,"about_ca_topic_score_gemma":0.0006847206,"domain_scores_codex":[0.9995149,0.00003443458,0.0001283317,0.0001519512,0.0000667618,0.0001035969],"domain_scores_gemma":[0.9998056,0.00001697706,0.00004030646,0.00008561664,0.00000673062,0.00004474767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000001621541,0.000009069443,0.9698632,0.000001311652,4.461848e-7,1.74364e-7,0.0001458087,0.00009033678,0.0125473,0.00005804811,0.000155693,0.01712704],"study_design_scores_gemma":[0.0001462825,0.00003514892,0.9731151,0.000003744916,0.000001369587,9.454695e-7,0.00007645966,0.02578257,0.0001930629,0.0004119944,0.0001685314,0.00006474102],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989433,0.00003100868,0.0002772655,0.0002170568,0.0000491918,0.0001471736,5.852496e-7,0.00001373848,0.0003206509],"genre_scores_gemma":[0.9985585,0.00001738264,0.001042894,0.0002372905,0.00002006879,0.000006792952,0.00002181907,0.000005220704,0.00008999353],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02569223,"threshold_uncertainty_score":0.4948802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02458140233432748,"score_gpt":0.2452962057376666,"score_spread":0.2207148034033391,"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."}}